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Price snapshot: 2026-11-03 · Research: 2026-10-21 · Saved analysis, not live market data
Ratings and fair values are independent, dated research opinions—not personalized investment advice. Disclaimer
The reference price is above the probability-weighted fair value.
Dashed marker: reference price $62.00. Scenario values are present fair values, not dated price targets.
3Y revenue CAGR 6%; sustainable 2029 EPS $0.90 after compensation; 20× P/E; 14% discount rate; Limited production wins and continued R&D intensity leave only $0.90 sustainable 2029 per-share earnings.
Execution, financing or competitive setbacks remain credible3Y revenue CAGR 20%; sustainable 2029 EPS $2.40 after compensation; 30× P/E; 14% discount rate; Edge AI expands into enterprise and automotive deployments, producing $2.40 sustainable 2029 per-share earnings after compensation costs.
Most likely operating trajectory, requiring measurable progress3Y revenue CAGR 34%; sustainable 2029 EPS $5.20 after compensation; 35× P/E; 14% discount rate; Indirect channels and higher-value accelerators scale successfully, producing $5.20 sustainable 2029 per-share earnings.
Successful product conversion and operating leverage; not assuredFolioFacts zones calculated from the saved fair and bear values at the dated reference price. Live zones can change with research.
The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. Record edge AI revenue and a widening roadmap support that direction, but the new indirect channels are expected to contribute meaningfully only in two to three years. The distinction matters: today's chip revenue cannot be valued as though the entire physical-AI opportunity has already commercialized. Large SBC and still-negative GAAP operating profit make per-share earnings conversion the central test.
Reported FY totals, current FY quarters and cumulative YTD are grouped separately.
Scale within group: $400M
Scale within group: $120M
Scale within group: $220M
Completed FY, standalone current-year quarters and cumulative YTD. No TTM figures.
Each row covers a completed fiscal year. Scale within this group: $120M.
Each row covers an independent quarter; derived cash flow is labeled. Scale within this group: $30M.
YTD totals overlap the quarters above and must not be added to them. Scale within this group: $46M.
Each annual, quarter and YTD group uses a separate scale. SBC / FCF is a same-period comparison, not a literal employee cash payment. N/M means FCF is zero or negative (or SBC is negative); missing is not zero. Issuer FCF definitions may vary.
Only completed fiscal years and currently open fiscal-year quarters/YTD appear in charts. Standalone quarters and cumulative YTD are separate; missing is never zero. Legacy TTM rows remain in archival source text. The full financial profile below preserves definitions, accounting caveats, and period-end balance details.
This score uses the saved price and research fundamentals. Creator Watchlist calculates the current score and rank using verified market prices.
Watch the evidence behind the thesis, not just the ticker.
Revenue trajectory sustains approximately 20% annual growth on a comparable basis
Growth remains below the 6% bear assumption over a full operating cycle
Affects: Revenue outlook and scenario probabilitiesAfter-cost earnings progress toward the base implied net margin of 15.8%
Competition, credit losses or service costs make that margin trajectory unattainable
Affects: Margins, moat score and valuation multipleFinancing and compensation remain consistent with 47.5M economic shares in the 2029 base case
Required capital or cumulative dilution materially exceeds the model without matching earnings
Affects: Financial score, confidence and downside valueThe opportunity is to convert efficient edge inference into a broader, higher-value product franchise. Record edge AI revenue and a widening roadmap support that direction, but the new indirect channels are expected to contribute meaningfully only in two to three years. The distinction matters: today's chip revenue cannot be valued as though the entire physical-AI opportunity has already commercialized. Large SBC and still-negative GAAP operating profit make per-share earnings conversion the central test.
| Debate | Research judgment |
|---|---|
| Production conversion of CV and X7 design wins | The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. |
| Memory availability and sustainable gross margin | Design wins create switching costs once a customer's hardware and software are qualified. |
| SBC, dilution and GAAP operating leverage | Fiscal Q2 FY27 revenue was $108.1 million. |
Ambarella designs low-power processors that combine image processing, video encoding and AI inference. It outsources fabrication and sells chips, development tools and engineering support into security cameras, automotive systems and other connected devices. The CV family is its core commercial platform. X7 accelerators and edge infrastructure expand its ambitions beyond camera-specific chips, while Cooper supports software development. Automotive programs have long qualification cycles; consumer and security orders respond more quickly to customer inventories. Distributor revenue concentration overstates individual end-customer concentration, but still creates channel dependence.
Ambarella designs low-power processors that combine image processing, video encoding and AI inference. Design wins create switching costs once a customer's hardware and software are qualified.
Management's five-year serviceable-market forecast rises from $8.5 billion to $22.9 billion. This is a roadmap-dependent company estimate, rather than an independently established sales opportunity. Robotics, enterprise video and local inference offer whitespace, but memory shortages, integration work and Nvidia's software ecosystem constrain adoption.
Comparable same-definition share data for the subject and its principal rivals were not established. TAM estimates and company-specific volume measures are not treated as directly comparable market shares. The positioning analysis below is more reliable than a table of unmatched percentages.
| Company / Platform | Primary Position | Relative Scale | Growth Direction | Investment Relevance |
|---|---|---|---|---|
| Novatek; SigmaStar; HiSilicon | Direct: image/video SoCs for security-camera OEMs | Product scope; no matched operating-scale series | Established camera-silicon alternatives | Customer choice in the stated segment only |
| NVIDIA (NVDA) | Segment-specific: Jetson edge AI and DRIVE automotive platforms | Product scope; no matched operating-scale series | Competes for edge and automotive design choices | Customer choice in the stated segment only |
| Qualcomm (QCOM) | Segment-specific: IoT vision processors and Snapdragon Ride | Product scope; no matched operating-scale series | Competes in selected IoT and automotive programs | Customer choice in the stated segment only |
| Mobileye (MBLY) | Segment-specific: automotive ADAS processor/software architecture | Product scope; no matched operating-scale series | Automotive overlap only | Customer choice in the stated segment only |
Robotics, enterprise video and local inference offer whitespace, but memory shortages, integration work and Nvidia's software ecosystem constrain adoption. The base case requires evidence of profitable adoption within that market.
The main comparison depends on the socket: camera-processing SoCs, general edge inference, and automotive ADAS are different markets. Mobileye is an automotive alternative named in Ambarella’s filing, not a broad competitor across the whole business.
| Competitor | Market Share | Positioning | Advantages vs. Company | Disadvantages vs. Company | Current Direction |
|---|---|---|---|---|---|
| Novatek; SigmaStar; HiSilicon | No consistent comparable series | Direct: image/video SoCs for security-camera OEMs | Camera-processing product portfolios | Ambarella combines imaging with programmable CVflow inference | Established camera-silicon alternatives |
| NVIDIA (NVDA) | No consistent comparable series | Segment-specific: Jetson edge AI and DRIVE automotive platforms | CUDA software ecosystem | Ambarella targets tightly integrated low-power vision SoCs | Competes for edge and automotive design choices |
| Qualcomm (QCOM) | No consistent comparable series | Segment-specific: IoT vision processors and Snapdragon Ride | Connectivity and automotive platform integration | Group handset/licensing economics do not represent vision chips | Competes in selected IoT and automotive programs |
| Mobileye (MBLY) | No consistent comparable series | Segment-specific: automotive ADAS processor/software architecture | Integrated EyeQ and driving software | Not a security-camera or general edge-inference peer | Automotive overlap only |
Power-efficient silicon and image-processing know-how are defensible capabilities. The software ecosystem and scale remain considerably smaller than those of major platform vendors. The moat is developing rather than established across every new AI market.
Moat direction: Stable — an analytical judgment about product and distribution economics, not a measured market-share claim.
Power-efficient silicon and image-processing know-how are defensible capabilities. The direct rivals determine commercial pressure; diversified or sector anchors provide valuation context and are not substitutes for direct competition.
Financial reporting periods follow the issuer's fiscal year: completed FY rows plus standalone current-year quarters and cumulative H1/9M for FY2027. Revenue, FCF and SBC are flows; cash is a period-end balance. FCF = operating cash flow minus property/equipment capex from SEC company facts; quarterly FCF after Q1 and any quarterly SBC derived from YTD are visibly marked. Missing values are N/D, not zero. Unit: USD millions. Data extracted from SEC-tagged filings as of 2026-11-07. Company-specific FCF definitions and acquisition effects may require further reconciliation.
| Period | Revenue | Growth | Gross Margin | Operating Margin | FCF | FCF Margin | SBC | Diluted Shares | Cash | Debt |
|---|---|---|---|---|---|---|---|---|---|---|
| FY2025 | 284.87 | 25.78% | 60.49% | -44.44% | 23.46 | 8.23% | 107.8 | 41 | 250.27 | 5.27 |
| FY2026 | 390.7 | 37.15% | 59.19% | -21.12% | 58.01 | 14.85% | 98.04 | 43 | 312.57 | 13.44 |
| Q1 FY2027 | $100.357 | N/D | 58.4% | -19.3% | −$29.583 (derived: CFO - capex) | -29.5% | $21.893 | 43.605 | $114.443 | N/D |
| Q2 FY2027 | $108.125 | N/D | 57.7% | -7.5% | −$7.082 (derived: current YTD - prior YTD) | -6.5% | $22.7 (derived: current YTD - prior YTD) | 44.006 | $101.85 | N/D |
| H1 FY2027 | $208.482 | N/D | 58.0% | -13.2% | −$36.665 (derived: CFO - capex) | -17.6% | $44.593 | 43.805 | $101.85 | N/D |
Fiscal Q2 FY27 revenue was $108.1 million. TTM SBC of $91.3 million is substantially larger than reported free cash flow of $9.7 million, so adding SBC back without allowing for dilution would exaggerate owner earnings. The balance sheet supplies development runway, but it does not remove the need for operating leverage.
Financial direction: Mixed — assess the reported trend alongside dilution and the balance sheet.
| Metric | Value |
|---|---|
| Price Snapshot | $62.00 — 2026-11-03 regular-session close, America/New_York |
| Market Capitalization | $2.79B |
| Enterprise Value | $2.53B |
| Trailing P/E | n/a |
| Provider forward P/E | 71.19 |
| EV / Sales | 6.06 |
| Company | Relevance | Public / Private | Forward P/E | EV / Sales | Growth / Margin / Risk Context |
|---|---|---|---|---|---|
| AMBA — Ambarella, Inc. | Subject company | Public | 71.19 | 6.06 | edge AI semiconductors; 3Y revenue-growth estimate 14.95%; operating margin -14.90% |
| MBLY — Mobileye Global Inc. | Segment-specific automotive alternative only; not a broad edge-AI peer | Public | 17.28 | 2.41 | automotive driver assistance; 3Y revenue-growth estimate 11.87%; operating margin -19.20% |
| QCOM — QUALCOMM Incorporated | Segment-specific IoT/automotive overlap; diversified parent multiple | Public | 18.97 | 4.41 | wireless semiconductors and licensing; 3Y revenue-growth estimate 5.35%; operating margin 23.66% |
| Novatek; SigmaStar; HiSilicon | Direct: image/video SoCs for security-camera OEMs | Mixed / standalone valuation not used | N/D — no matched snapshot collected | N/D — no matched snapshot collected | Established camera-silicon alternatives |
| NVIDIA (NVDA) | Segment-specific: Jetson edge AI and DRIVE automotive platforms | Public | N/D — no matched snapshot collected | N/D — no matched snapshot collected | Competes for edge and automotive design choices |
Comparable takeaway: The main comparison depends on the socket: camera-processing SoCs, general edge inference, and automotive ADAS are different markets. Mobileye is an automotive alternative named in Ambarella’s filing, not a broad competitor across the whole business. Quoted multiples retain their original dated snapshot; missing matched multiples are not estimated. Consolidated parent multiples do not isolate the competing product. No mechanical peer average is used.
The base terminal P/E is 30×, versus the provider's current forward P/E of 71.19×. Holding that quoted multiple constant on this model's 2029 EPS gives an illustrative present value of $115.32, versus the central base FV of $48.60. Earnings definitions differ, so this is a sensitivity check; it makes the dependence on a rerating or derating explicit.
| Scenario | Key Assumptions | Fair Value | Probability | Probability Rationale | Return From Price Snapshot |
|---|---|---|---|---|---|
| Bear | 3Y revenue CAGR 6%; sustainable 2029 EPS $0.90 after compensation; 20× P/E; 14% discount rate; Limited production wins and continued R&D intensity leave only $0.90 sustainable 2029 per-share earnings. | $12.15 | 30% | Execution, financing or competitive setbacks remain credible | -80.4% |
| Base | 3Y revenue CAGR 20%; sustainable 2029 EPS $2.40 after compensation; 30× P/E; 14% discount rate; Edge AI expands into enterprise and automotive deployments, producing $2.40 sustainable 2029 per-share earnings after compensation costs. | $48.60 | 50% | Most likely operating trajectory, requiring measurable progress | -21.6% |
| Bull | 3Y revenue CAGR 34%; sustainable 2029 EPS $5.20 after compensation; 35× P/E; 14% discount rate; Indirect channels and higher-value accelerators scale successfully, producing $5.20 sustainable 2029 per-share earnings. | $122.84 | 20% | Successful product conversion and operating leverage; not assured | +98.1% |
| Probability-Weighted | Sum of each scenario value × its probability | $52.51 | 100% | Judgmental scenario probabilities | -15.3% |
Fermi Wang's technical continuity is an advantage. Capgemini and Macnica broaden distribution, while semi-custom programs could improve customer commitment. A canceled development project reduced GAAP R&D by $9 million; that benefit should not be extrapolated. Monitor whether roadmap expansion increases recurring engineering costs faster than production revenue.
Monitor whether roadmap expansion increases recurring engineering costs faster than production revenue.
Analyzed call: Q2 FY2027, complete material Q&A · Research snapshot: 2026-10-21
The table consolidates related questions and follow-ups from each material participant in the complete call.
| Analyst / Firm | Core Question | Management Response | Research Read-Through |
|---|---|---|---|
| Dylan Olivier / Susquehanna | Can X7 be bundled with existing processors, and how much of the larger market opportunity comes from robotics? | Management said X7 can supplement Ambarella or third-party host processors. Robotics design wins are expanding, alongside other edge applications. | Confirm that this opportunity converts into profitable recurring demand. |
| Joe Moore / Morgan Stanley | How are memory constraints affecting demand, and when will the new distribution channels generate meaningful revenue? | Management was comfortable with Q3 guidance but flagged Q4 memory availability. Meaningful partner-channel revenue was expected in two to three years. | Treat the stated timetable as conditional on demonstrated execution. |
| Tore Svanberg / Stifel | How will Capgemini and Macnica use Cooper and help Ambarella enter new markets? | Management said both partners use Cooper; Macnica serves fragmented customers and Capgemini targets large enterprises. | Confirm that this opportunity converts into profitable recurring demand. |
| Quinn Bolton / Needham & Company | What is the margin outlook, and how did the canceled development project affect expenses? | Management retained its margin outlook and described the canceled project as a separate development item. | Require durable cash conversion after compensation and ongoing investment. |
| Kevin Cassidy / Rosenblatt Securities | How does Ambarella's architecture reduce customers' memory requirements? | Management said its architecture limits the memory needed for the relevant workloads. | Confirm that this opportunity converts into profitable recurring demand. |
| Suji Desilva / Roth Capital | How does Ambarella compete with alternative platforms and customers' custom silicon? | Management identified power efficiency as a continuing source of differentiation. | Stress monetization if competition or mix reduces economic yield. |
| Liam Farr / Bank of America | How do memory costs and seasonal demand affect the fourth-quarter outlook? | Management said memory conditions affect customers and discussed the normal seasonal pattern in the fourth quarter. | Require durable cash conversion after compensation and ongoing investment. |
| Gus Richard / Northland | Which parts of a robotics system can Ambarella address? | Management described perception as the initial opportunity, with broader controller applications developing later. | Confirm that this opportunity converts into profitable recurring demand. |
| Martin Yang / Oppenheimer | How do the new partners affect the revenue opportunity and forecasting? | Management said the new channels expand the addressable customer opportunity, while conversion into revenue takes time. | Confirm that this opportunity converts into profitable recurring demand. |
Partners and new silicon expand the opportunity, but indirect-channel revenue remains several years away. Memory availability and sustained gross profit matter before a robotics TAM becomes shareholder earnings.
| Source | Type | Date / Period | What It Supports |
|---|---|---|---|
| Ambarella, Inc. Announces Second Quarter Fiscal Year 2027 Financial Results / Ambarella Inc. | Company IR / earnings filing | Q2 FY2027 | Latest operating results, guidance, products and financial supplement |
| AMBA complete earnings-call transcript | Transcript | Q2 FY2027 | Prepared remarks and all material Q&A exchanges |
| AMBA regular-session historical price | Market data | 2026-10-20 close | Common price used in returns, scores and zones |
| AMBA valuation statistics | Market data | 2026-10-20 close; ratios retrieved 2026-10-21 | Market capitalization, shares, quoted multiples and current ratios |
| AMBA historical income statement | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical income statement; source-native currency and definitions |
| AMBA historical balance sheet | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical balance sheet; source-native currency and definitions |
| AMBA historical cash flows | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical cash flows; source-native currency and definitions |
| Mobileye Global Inc. statistics | Comparable-company market data | 2026-10-20 regular close | Peer multiples and financial context; public quote basis |
| QUALCOMM Incorporated statistics | Comparable-company market data | 2026-10-20 regular close | Peer multiples and financial context; public quote basis |
| FY2026 10-K — products and competition | Regulatory filing / primary product evidence | FY ended 2026-01-31; checked 2026-10-28 | Camera versus automotive competitor definitions; CVflow differentiation |
| SEC XBRL company facts — AMBA | Regulatory filing (as tagged) | FY2027, through 2026-07-31 | Current-year standalone-quarter and year-to-date source facts for FCF, SBC, revenue and other reported metrics |
Company: Ambarella, Inc.
Ticker: AMBA
Exchange: Nasdaq
Sector / Industry: Technology / edge AI semiconductors
Template version: 2.7
Research date: 2026-10-21
Valuation / score price snapshot: $62.00 — 2026-11-03 regular-session close, America/New_York
Tracking tier: Primary Watchlist
Owned: No
Primary operating period reviewed: Q2 FY2027
Historical period reviewed: TTM, FY 2026, FY 2025; latest balance-sheet date shown below
Latest investor presentation reviewed: Results release and associated financial tables; no separate slide deck materially used
Latest earnings call reviewed: Q2 FY2027, complete material Q&A
Latest post-earnings management commentary reviewed: No separate later management presentation incorporated
Price snapshot date: 2026-11-03
Price snapshot time / timezone: Regular-session close, America/New_York (including exchange half-days)
Competitor / analyst-Q&A audit: 2026-10-28; original operating, price and valuation snapshots retained.
Company: Ambarella, Inc.
Ticker: AMBA
Exchange: Nasdaq
Sector / Industry: Technology / edge AI semiconductors
Template version: 2.7
Research date: 2026-10-21
Valuation / score price snapshot: $62.00 — 2026-11-03 regular-session close, America/New_York
Tracking tier: Primary Watchlist
Owned: No
Primary operating period reviewed: Q2 FY2027
Historical period reviewed: TTM, FY 2026, FY 2025; latest balance-sheet date shown below
Latest investor presentation reviewed: Results release and associated financial tables; no separate slide deck materially used
Latest earnings call reviewed: Q2 FY2027, complete material Q&A
Latest post-earnings management commentary reviewed: No separate later management presentation incorporated
Price snapshot date: 2026-11-03
Price snapshot time / timezone: Regular-session close, America/New_York (including exchange half-days)
Competitor / analyst-Q&A audit: 2026-10-28; original operating, price and valuation snapshots retained.
Current Review: 2026-10-28
Previous Review: 2026-10-21
Update Trigger: Competitor relevance and analyst-Q&A correction
| Area | Previous View | Current View | Investment Impact |
|---|---|---|---|
| Competition | Preceding operating and comparable-company classifications | Product/customer/geographic boundaries corrected; direct rivals separated from substitutes, partners and valuation anchors | Corrects the competitive comparison; does not by itself re-underwrite the valuation |
| Analyst questions | Prior source-linked Q&A summaries | Complete questions and sentence-form management answers; all 9 existing rows retained | Improves readability while preserving the recorded exchange meaning |
| Valuation and scores | Approved operating/price snapshots, scenarios, scores and decisions | Preserved | No price refresh, rerank or change to valuation assumptions in this correction pass |
Thesis: No new fundamental thesis determination is made in this correction pass. The prior investment decision is preserved; the corrected competitive scope should govern the next substantive review.
| Metric | Current View |
|---|---|
| Price Snapshot | $62.00 — 2026-11-03 regular-session close, America/New_York |
| Rating / Zone Status | Avoid |
| Bear / Base / Bull Fair Value | $12.15 / $48.60 / $122.84 |
| Scenario Probabilities | 30% / 50% / 20% |
| Probability-Weighted Fair Value | $52.51 |
| Probability-Weighted Expected Return | -15.3% |
| Bear-Case Return | -80.4% |
| Strong Buy Zone | ≤ $13.37 |
| Buy Zone | >$13.37–$42.01 |
| Avoid Chasing Above | > $58.34 |
| Quality Score / Tier | 66.5 / Tier B |
| Opportunity Score / Rank | 33.0 / #58 of 76 |
| Risk Level | High |
| Tracking / Ownership | Primary Watchlist / Not Owned |
Decision rationale: AMBA is Avoid at $63.22, with -16.9% probability-weighted upside and -80.8% bear-case return. The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. Confidence is 42/100 because the earnings conversion, competitive and capital assumptions below remain conditional.
The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. Record edge AI revenue and a widening roadmap support that direction, but the new indirect channels are expected to contribute meaningfully only in two to three years. The distinction matters: today's chip revenue cannot be valued as though the entire physical-AI opportunity has already commercialized. Large SBC and still-negative GAAP operating profit make per-share earnings conversion the central test.
| Debate | Research judgment |
|---|---|
| Production conversion of CV and X7 design wins | The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. |
| Memory availability and sustainable gross margin | Design wins create switching costs once a customer's hardware and software are qualified. |
| SBC, dilution and GAAP operating leverage | Fiscal Q2 FY27 revenue was $108.1 million. |
Ambarella designs low-power processors that combine image processing, video encoding and AI inference. It outsources fabrication and sells chips, development tools and engineering support into security cameras, automotive systems and other connected devices. The CV family is its core commercial platform. X7 accelerators and edge infrastructure expand its ambitions beyond camera-specific chips, while Cooper supports software development. Automotive programs have long qualification cycles; consumer and security orders respond more quickly to customer inventories. Distributor revenue concentration overstates individual end-customer concentration, but still creates channel dependence.
Ambarella designs low-power processors that combine image processing, video encoding and AI inference. Design wins create switching costs once a customer's hardware and software are qualified.
Management's five-year serviceable-market forecast rises from $8.5 billion to $22.9 billion. This is a roadmap-dependent company estimate, rather than an independently established sales opportunity. Robotics, enterprise video and local inference offer whitespace, but memory shortages, integration work and Nvidia's software ecosystem constrain adoption.
Comparable same-definition share data for the subject and its principal rivals were not established. TAM estimates and company-specific volume measures are not treated as directly comparable market shares. The positioning analysis below is more reliable than a table of unmatched percentages.
| Company / Platform | Primary Position | Relative Scale | Growth Direction | Investment Relevance |
|---|---|---|---|---|
| Novatek; SigmaStar; HiSilicon | Direct: image/video SoCs for security-camera OEMs | Product scope; no matched operating-scale series | Established camera-silicon alternatives | Customer choice in the stated segment only |
| NVIDIA (NVDA) | Segment-specific: Jetson edge AI and DRIVE automotive platforms | Product scope; no matched operating-scale series | Competes for edge and automotive design choices | Customer choice in the stated segment only |
| Qualcomm (QCOM) | Segment-specific: IoT vision processors and Snapdragon Ride | Product scope; no matched operating-scale series | Competes in selected IoT and automotive programs | Customer choice in the stated segment only |
| Mobileye (MBLY) | Segment-specific: automotive ADAS processor/software architecture | Product scope; no matched operating-scale series | Automotive overlap only | Customer choice in the stated segment only |
Robotics, enterprise video and local inference offer whitespace, but memory shortages, integration work and Nvidia's software ecosystem constrain adoption. The base case requires evidence of profitable adoption within that market.
Design wins create switching costs once a customer's hardware and software are qualified. They do not guarantee lifetime volumes. The key measures are production conversion, chip content per system, gross profit per design and customer inventory. The latest quarter's 13.2% revenue growth and 57.7% GAAP gross margin show commercial progress with continuing pricing and mix pressure.
The economic test is SBC, dilution and GAAP operating leverage. The latest quarter's 13.2% revenue growth and 57.7% GAAP gross margin show commercial progress with continuing pricing and mix pressure.
The main comparison depends on the socket: camera-processing SoCs, general edge inference, and automotive ADAS are different markets. Mobileye is an automotive alternative named in Ambarella’s filing, not a broad competitor across the whole business.
| Competitor | Market Share | Positioning | Advantages vs. Company | Disadvantages vs. Company | Current Direction |
|---|---|---|---|---|---|
| Novatek; SigmaStar; HiSilicon | No consistent comparable series | Direct: image/video SoCs for security-camera OEMs | Camera-processing product portfolios | Ambarella combines imaging with programmable CVflow inference | Established camera-silicon alternatives |
| NVIDIA (NVDA) | No consistent comparable series | Segment-specific: Jetson edge AI and DRIVE automotive platforms | CUDA software ecosystem | Ambarella targets tightly integrated low-power vision SoCs | Competes for edge and automotive design choices |
| Qualcomm (QCOM) | No consistent comparable series | Segment-specific: IoT vision processors and Snapdragon Ride | Connectivity and automotive platform integration | Group handset/licensing economics do not represent vision chips | Competes in selected IoT and automotive programs |
| Mobileye (MBLY) | No consistent comparable series | Segment-specific: automotive ADAS processor/software architecture | Integrated EyeQ and driving software | Not a security-camera or general edge-inference peer | Automotive overlap only |
Power-efficient silicon and image-processing know-how are defensible capabilities. The software ecosystem and scale remain considerably smaller than those of major platform vendors. The moat is developing rather than established across every new AI market.
Moat direction: Stable — an analytical judgment about product and distribution economics, not a measured market-share claim.
Power-efficient silicon and image-processing know-how are defensible capabilities. The direct rivals determine commercial pressure; diversified or sector anchors provide valuation context and are not substitutes for direct competition.
Financial reporting periods follow the issuer's fiscal year: completed FY rows plus standalone current-year quarters and cumulative H1/9M for FY2027. Revenue, FCF and SBC are flows; cash is a period-end balance. FCF = operating cash flow minus property/equipment capex from SEC company facts; quarterly FCF after Q1 and any quarterly SBC derived from YTD are visibly marked. Missing values are N/D, not zero. Unit: USD millions. Data extracted from SEC-tagged filings as of 2026-11-07. Company-specific FCF definitions and acquisition effects may require further reconciliation.
| Period | Revenue | Growth | Gross Margin | Operating Margin | FCF | FCF Margin | SBC | Diluted Shares | Cash | Debt |
|---|---|---|---|---|---|---|---|---|---|---|
| FY2025 | 284.87 | 25.78% | 60.49% | -44.44% | 23.46 | 8.23% | 107.8 | 41 | 250.27 | 5.27 |
| FY2026 | 390.7 | 37.15% | 59.19% | -21.12% | 58.01 | 14.85% | 98.04 | 43 | 312.57 | 13.44 |
| Q1 FY2027 | $100.357 | N/D | 58.4% | -19.3% | −$29.583 (derived: CFO - capex) | -29.5% | $21.893 | 43.605 | $114.443 | N/D |
| Q2 FY2027 | $108.125 | N/D | 57.7% | -7.5% | −$7.082 (derived: current YTD - prior YTD) | -6.5% | $22.7 (derived: current YTD - prior YTD) | 44.006 | $101.85 | N/D |
| H1 FY2027 | $208.482 | N/D | 58.0% | -13.2% | −$36.665 (derived: CFO - capex) | -17.6% | $44.593 | 43.805 | $101.85 | N/D |
Fiscal Q2 FY27 revenue was $108.1 million. TTM SBC of $91.3 million is substantially larger than reported free cash flow of $9.7 million, so adding SBC back without allowing for dilution would exaggerate owner earnings. The balance sheet supplies development runway, but it does not remove the need for operating leverage.
Financial direction: Mixed — assess the reported trend alongside dilution and the balance sheet.
Fermi Wang's technical continuity is an advantage. Capgemini and Macnica broaden distribution, while semi-custom programs could improve customer commitment. A canceled development project reduced GAAP R&D by $9 million; that benefit should not be extrapolated. Monitor whether roadmap expansion increases recurring engineering costs faster than production revenue.
Monitor whether roadmap expansion increases recurring engineering costs faster than production revenue.
| Metric | Value |
|---|---|
| Price Snapshot | $62.00 — 2026-11-03 regular-session close, America/New_York |
| Market Capitalization | $2.79B |
| Enterprise Value | $2.53B |
| Trailing P/E | n/a |
| Provider forward P/E | 71.19 |
| EV / Sales | 6.06 |
| Company | Relevance | Public / Private | Forward P/E | EV / Sales | Growth / Margin / Risk Context |
|---|---|---|---|---|---|
| AMBA — Ambarella, Inc. | Subject company | Public | 71.19 | 6.06 | edge AI semiconductors; 3Y revenue-growth estimate 14.95%; operating margin -14.90% |
| MBLY — Mobileye Global Inc. | Segment-specific automotive alternative only; not a broad edge-AI peer | Public | 17.28 | 2.41 | automotive driver assistance; 3Y revenue-growth estimate 11.87%; operating margin -19.20% |
| QCOM — QUALCOMM Incorporated | Segment-specific IoT/automotive overlap; diversified parent multiple | Public | 18.97 | 4.41 | wireless semiconductors and licensing; 3Y revenue-growth estimate 5.35%; operating margin 23.66% |
| Novatek; SigmaStar; HiSilicon | Direct: image/video SoCs for security-camera OEMs | Mixed / standalone valuation not used | N/D — no matched snapshot collected | N/D — no matched snapshot collected | Established camera-silicon alternatives |
| NVIDIA (NVDA) | Segment-specific: Jetson edge AI and DRIVE automotive platforms | Public | N/D — no matched snapshot collected | N/D — no matched snapshot collected | Competes for edge and automotive design choices |
Comparable takeaway: The main comparison depends on the socket: camera-processing SoCs, general edge inference, and automotive ADAS are different markets. Mobileye is an automotive alternative named in Ambarella’s filing, not a broad competitor across the whole business. Quoted multiples retain their original dated snapshot; missing matched multiples are not estimated. Consolidated parent multiples do not isolate the competing product. No mechanical peer average is used.
The base terminal P/E is 30×, versus the provider's current forward P/E of 71.19×. Holding that quoted multiple constant on this model's 2029 EPS gives an illustrative present value of $115.32, versus the central base FV of $48.60. Earnings definitions differ, so this is a sensitivity check; it makes the dependence on a rerating or derating explicit.
| Scenario | Key Assumptions | Fair Value | Probability | Probability Rationale | Return From Price Snapshot |
|---|---|---|---|---|---|
| Bear | 3Y revenue CAGR 6%; sustainable 2029 EPS $0.90 after compensation; 20× P/E; 14% discount rate; Limited production wins and continued R&D intensity leave only $0.90 sustainable 2029 per-share earnings. | $12.15 | 30% | Execution, financing or competitive setbacks remain credible | -80.4% |
| Base | 3Y revenue CAGR 20%; sustainable 2029 EPS $2.40 after compensation; 30× P/E; 14% discount rate; Edge AI expands into enterprise and automotive deployments, producing $2.40 sustainable 2029 per-share earnings after compensation costs. | $48.60 | 50% | Most likely operating trajectory, requiring measurable progress | -21.6% |
| Bull | 3Y revenue CAGR 34%; sustainable 2029 EPS $5.20 after compensation; 35× P/E; 14% discount rate; Indirect channels and higher-value accelerators scale successfully, producing $5.20 sustainable 2029 per-share earnings. | $122.84 | 20% | Successful product conversion and operating leverage; not assured | +98.1% |
| Probability-Weighted | Sum of each scenario value × its probability | $52.51 | 100% | Judgmental scenario probabilities | -15.3% |
The table consolidates related questions and follow-ups from each material participant in the complete call.
| Analyst / Firm | Core Question | Management Response | Research Read-Through |
|---|---|---|---|
| Dylan Olivier / Susquehanna | Can X7 be bundled with existing processors, and how much of the larger market opportunity comes from robotics? | Management said X7 can supplement Ambarella or third-party host processors. Robotics design wins are expanding, alongside other edge applications. | Confirm that this opportunity converts into profitable recurring demand. |
| Joe Moore / Morgan Stanley | How are memory constraints affecting demand, and when will the new distribution channels generate meaningful revenue? | Management was comfortable with Q3 guidance but flagged Q4 memory availability. Meaningful partner-channel revenue was expected in two to three years. | Treat the stated timetable as conditional on demonstrated execution. |
| Tore Svanberg / Stifel | How will Capgemini and Macnica use Cooper and help Ambarella enter new markets? | Management said both partners use Cooper; Macnica serves fragmented customers and Capgemini targets large enterprises. | Confirm that this opportunity converts into profitable recurring demand. |
| Quinn Bolton / Needham & Company | What is the margin outlook, and how did the canceled development project affect expenses? | Management retained its margin outlook and described the canceled project as a separate development item. | Require durable cash conversion after compensation and ongoing investment. |
| Kevin Cassidy / Rosenblatt Securities | How does Ambarella's architecture reduce customers' memory requirements? | Management said its architecture limits the memory needed for the relevant workloads. | Confirm that this opportunity converts into profitable recurring demand. |
| Suji Desilva / Roth Capital | How does Ambarella compete with alternative platforms and customers' custom silicon? | Management identified power efficiency as a continuing source of differentiation. | Stress monetization if competition or mix reduces economic yield. |
| Liam Farr / Bank of America | How do memory costs and seasonal demand affect the fourth-quarter outlook? | Management said memory conditions affect customers and discussed the normal seasonal pattern in the fourth quarter. | Require durable cash conversion after compensation and ongoing investment. |
| Gus Richard / Northland | Which parts of a robotics system can Ambarella address? | Management described perception as the initial opportunity, with broader controller applications developing later. | Confirm that this opportunity converts into profitable recurring demand. |
| Martin Yang / Oppenheimer | How do the new partners affect the revenue opportunity and forecasting? | Management said the new channels expand the addressable customer opportunity, while conversion into revenue takes time. | Confirm that this opportunity converts into profitable recurring demand. |
Partners and new silicon expand the opportunity, but indirect-channel revenue remains several years away. Memory availability and sustained gross profit matter before a robotics TAM becomes shareholder earnings.
| Driver | Current State | Positive Trigger / Catalyst | Negative Trigger / Falsifier | What It Changes |
|---|---|---|---|---|
| Production conversion of CV and X7 design wins | The opportunity is to convert efficient edge inference into a broader, higher-value product franchise. | Revenue trajectory sustains approximately 20% annual growth on a comparable basis | Growth remains below the 6% bear assumption over a full operating cycle | Revenue outlook and scenario probabilities |
| Memory availability and sustainable gross margin | Design wins create switching costs once a customer's hardware and software are qualified. | After-cost earnings progress toward the base implied net margin of 15.8% | Competition, credit losses or service costs make that margin trajectory unattainable | Margins, moat score and valuation multiple |
| SBC, dilution and GAAP operating leverage | Fiscal Q2 FY27 revenue was $108.1 million. | Financing and compensation remain consistent with 47.5M economic shares in the 2029 base case | Required capital or cumulative dilution materially exceeds the model without matching earnings | Financial score, confidence and downside value |
| Component | Score | Weight | Weighted Contribution | Evidence |
|---|---|---|---|---|
| Business durability and economics | 62 | 25% | 15.5 | Design wins create switching costs once a customer's hardware and software are qualified. |
| Moat and competitive position | 65 | 25% | 16.3 | Power-efficient silicon and image-processing know-how are defensible capabilities. |
| Growth runway and durability | 80 | 20% | 16.0 | Management's five-year serviceable-market forecast rises from $8.5 billion to $22.9 billion. |
| Financial quality and balance sheet | 57 | 15% | 8.5 | Fiscal Q2 FY27 revenue was $108.1 million. |
| Management, governance and capital allocation | 68 | 15% | 10.2 | Fermi Wang's technical continuity is an advantage. |
| Quality Score | 66.5 | 100% | 66.5 | Weighted score, independent of ownership and current price |
| Component | Raw Input | Normalized Score | Weight | Weighted Contribution |
|---|---|---|---|---|
| Quality | 66.5 | 66.5 | 30% | 19.9 |
| Probability-weighted upside | -15.3% | 19.4 | 35% | 6.8 |
| Bear-case downside | -80.4% | 0.0 | 20% | 0.0 |
| Risk / valuation confidence | 42 | 42.0 | 15% | 6.3 |
| Opportunity Score | 33.0 | 100% | 33.0 |
my_watchlist.mdportfolio/holdings.md| Timestamp | Price | Rating | Zone Status | Buy Zone | Strong Buy Zone | Avoid Chasing Above | Base FV | P/W FV | P/W Return | Quality | Opportunity / Rank | Change / Rationale |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-21 (America/New_York) | $63.22 | Avoid | Avoid | >$13.37–$42.01 | ≤ $13.37 | > $58.34 | $48.60 | $52.51 | -16.9% | 66.5 | 31.9 / #56 | Initial missing-file analysis; common-universe ranking; independent scenario assumptions |
| Source | Type | Date / Period | What It Supports |
|---|---|---|---|
| Ambarella, Inc. Announces Second Quarter Fiscal Year 2027 Financial Results / Ambarella Inc. | Company IR / earnings filing | Q2 FY2027 | Latest operating results, guidance, products and financial supplement |
| AMBA complete earnings-call transcript | Transcript | Q2 FY2027 | Prepared remarks and all material Q&A exchanges |
| AMBA regular-session historical price | Market data | 2026-10-20 close | Common price used in returns, scores and zones |
| AMBA valuation statistics | Market data | 2026-10-20 close; ratios retrieved 2026-10-21 | Market capitalization, shares, quoted multiples and current ratios |
| AMBA historical income statement | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical income statement; source-native currency and definitions |
| AMBA historical balance sheet | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical balance sheet; source-native currency and definitions |
| AMBA historical cash flows | Standardized financial statements | Latest reported period and two preceding fiscal years | Historical cash flows; source-native currency and definitions |
| Mobileye Global Inc. statistics | Comparable-company market data | 2026-10-20 regular close | Peer multiples and financial context; public quote basis |
| QUALCOMM Incorporated statistics | Comparable-company market data | 2026-10-20 regular close | Peer multiples and financial context; public quote basis |
| FY2026 10-K — products and competition | Regulatory filing / primary product evidence | FY ended 2026-01-31; checked 2026-10-28 | Camera versus automotive competitor definitions; CVflow differentiation |
| SEC XBRL company facts — AMBA | Regulatory filing (as tagged) | FY2027, through 2026-07-31 | Current-year standalone-quarter and year-to-date source facts for FCF, SBC, revenue and other reported metrics |
This page presents the saved AMBA analysis. Ratings, zones, and opportunity scores shown above are recalculated at its dated reference price using FolioFacts rules; the live Creator Watchlist uses current market prices and can differ. Missing financial data is not estimated.
This publication reflects my personal investment research, thoughts, and opinions only. It is intended strictly for informational and educational purposes and does not constitute personalized investment, legal, tax, or financial advice. Any ratings or views expressed are general analytical opinions, not recommendations tailored to any reader or offers or solicitations to buy or sell any security or financial instrument.
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While I endeavor to provide accurate information, all data and analysis are provided "as is" without any warranty of accuracy, completeness, or timeliness. You must conduct your own independent due diligence and/or consult with a licensed professional before making any financial decisions. I may hold long or short positions in any of the securities or assets discussed herein at any time without notice.
Quality is price independent. Opportunity combines that quality with scenario-based upside, bear-case protection, and confidence. Ownership and cost basis do not affect these scores. Watchlist rank compares the scored companies in that Watchlist.
Model scores, valuation estimates, and price zones are based on assumptions, not guarantees of future performance or individualized advice. Read our Disclaimer.
25% business durability
25% moat and competitive position
20% growth runway
15% financial quality
15% management and capital allocation
30% Quality Score
35% normalized probability-weighted upside
20% normalized bear-case return
15% risk and valuation confidence
At least 50% upside to P/W fair value, with price no more than 10% above bear-case fair value.
At least 25% upside to P/W fair value, above the Strong Buy boundary.
Modeled return from approximately −10% to below +25%.
More than 10% downside to P/W fair value.
Risk-adjusted view. This framework balances expected upside, downside risk and valuation confidence. Zones may be less reliable for companies priced mainly on future potential rather than current fundamentals.
These prompt a review of the research and Opportunity Score. Watchlist ranks are calculated automatically from the scores currently displayed.