Innoviz Technologies Ltd (INVZ) Fair Value & Analysis
Consumer Cyclical · US · Market cap $129M
Innoviz Technologies Ltd
INVZ · US
Fair value as of: Jul 24, 2026
From 1 valuation models · updated 17 days ago
Share price −43.3% over the past month.
Below-average quality, and screening another 66% overvalued on our models.
What matters now
- The price sits above even our optimistic bull case ($0.1700). The favourable scenario is already priced in.
- The large gap to fair value rests on thin data (low evidence): fewer applicable models and a shorter history. Read it with extra caution.
- Solid but not exceptional quality (46/100) and above fair value, neither a clear bargain nor a standout compounder.
- A fairly wide model range ($0.0900 to $0.1700) leaves room in how you read the outcome.
Price vs Fair Value (5 years)
White line = price, green steps = our fair value per fiscal year, dashed = 300-day average. As of Jul 24, 2026.
How to read this chart
60‑month range $0.3800 – $11.31 · fair‑value band $0.0900 – $0.1700 · the $0.3879 price screens above the $0.1300 fair value. Green steps = our fair value per fiscal year (point-in-time, no hindsight). Dashed = 300-day average. As of Jul 24, 2026.
Analysis
Innoviz Technologies Ltd (INVZ) currently trades at $0.3879, while our model-based Fair Value estimate is $0.1300, implying the stock looks roughly 66.5% overvalued today. The Quality Score stands at 46/100 (below-average quality), in the Consumer Cyclical sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium, the entry price still matters most (evidence: low).
Trailing-twelve-month revenue stands at $44.8M. Revenue declined 59.0% year over year. It earns a return on equity of -97.2%. Net debt stands at $55.9M. Fundamentals as of Jul 24, 2026
Our scenario range runs from $0.0900 (bear case) to $0.1700 (bull case); at $0.3879, the current price sits above that range. Bear and bull are the same models run on conservative and optimistic assumptions (margins, growth, valuation multiples), so a plausible valuation range, not a price target. For context, the median of 10 Consumer Cyclical peers we cover trades at -44% fair-value upside, at -66%, INVZ screens richer than that median.
Fair Value models
Each model estimates fair value its own way; the Fair Value above is the evidence-weighted blend. Evidence (0–100) measures how completely this model’s inputs are available: well-fed models carry more weight in the blend. The spread across models is intentional, each one stresses a different value driver; dividend models, for instance, come out structurally low when payout is small.
All 1 models by family
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Key figures & financial health
More key figures
Figures from reported company fundamentals · as of Jul 24, 2026. TTM = trailing twelve months.
Quality Score breakdown
Of which business quality 43 · Market factors (momentum, volatility) 4
Non-valuation factor families (profitability, growth, cashflow, financial strength, momentum …), each academically grounded. Valuation itself sits in the Fair Value and is deliberately excluded here to avoid double-counting.
About the company
Innoviz Technologies Ltd. manufactures and sells automotive grade LiDAR sensors and perception software to enable safe autonomous driving at a mass scale.
Full company description
Innoviz Technologies Ltd. manufactures and sells automotive grade LiDAR sensors and perception software to enable safe autonomous driving at a mass scale. The company offers InnovizOne, a solid-state LiDAR sensor designed for automakers and robotaxis, shuttles, trucks, and delivery companies requiring an automotive-grade and mass-producible solution to achieve autonomy. It also provides InnovizTwo Long-Range, a automotive-grade LiDAR sensor solution for various levels of autonomous driving; InnovizTwo Short- to Mid-Range, a automotive-grade LiDAR sensor designed to cover the short- and medium-range vehicles; InnovizThree, third-generation LiDAR platform, designed to deliver range detection with cost efficiency and installation flexibility for behind-the-windshield, rooftop or front grille integration; and perception application, a software application that turns raw point cloud data into perception ready outputs designed to serve as functionally safe software into a vehicle's driving platform stack. The company operates in Europe, the Asia Pacific, the Middle East, Africa, Israel, and North America. It markets and sells its products through a direct sales organization, as well as distribution channels. Innoviz Technologies Ltd. is headquartered in Rosh HaAyin, Israel.
Company description, as reported by the company or data provider.
Revenue & earnings trend
FY2021 – FY2025 · reported fiscal years
Innoviz Technologies Ltd reported revenue of $55.1M in FY2025 versus $5.5M in FY2021, a compound +78.2%/yr. Reported net income was −$67.8M in FY2025.
INVZ screens 66% overvalued. Compare with Hyundai Mobis Co →
Earlier news
External third-party headlines (Yahoo Finance, Reuters and others), not an editorial selection.
- Innoviz LiDAR Finds a Providential New Counter-UAS Mission Extending the Life-Saving Value of Proven Automotive Technology
- Innoviz (INVZ) Partners With Cogniteam to Launch AI-Powered Counter-Drone Perception Module
- AeroNous Partners with Innoviz LiDAR to Strengthen Real-Time Localization Across Its Counter-UAS Command-and-Control Platform
- Innoviz LiDAR Powers Cogniteam's New Counter-UAS Classification Module for Advanced Security Platforms
Peer Group
Auto Parts · 642 stocks
How this stock ranks against its industry: the green marker is this stock, the band is the typical 25–75% peer range, and the tick is the median.
Valuation Multiples vs Auto Parts median · lower = cheaper
Values & ESG
Does this company touch areas you may want to avoid? The classification is inferred from sector and industry.
ESG scores are not available for this stock yet. Values and ESG data are contextual and can differ between providers.
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Frequently asked questions
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data, nothing guessed.
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