ouster vs aeva

Ouster vs Aeva: Two Lidar Stocks for Autonomy Compared

Ouster and Aeva both sell lidar sensors into the same autonomy wave, but one earns diversified revenue across defense, industrial, and robotics customers today while the other is still converting automotive design wins into production orders.

Two Lidar Makers, Two Different Revenue Stories

Ouster is the safer lidar stock today, with revenue spread across more industrial, robotics, and defense customers than Aeva's.

In the company profiles we publish here, we've found that revenue concentration tells a researcher more about downside risk than any single sensor spec.

Ouster builds time-of-flight digital lidar sold across industrial automation, robotics, smart infrastructure, automotive, and a defense and counter-UAS-adjacent segment. Aeva builds frequency-modulated continuous-wave (FMCW) lidar instead, a different architecture. It reads a target's velocity directly at the same instant it measures range. Aeva sells mainly into automotive validation programs, with one disclosed defense-adjacent customer.

Company Snapshot

Both companies are public, small-cap, NYSE-listed sensor makers rather than aircraft or vehicle builders, so neither carries the single-program concentration risk of a company selling a complete drone or ground vehicle. The difference is how diversified each one's customer base already is versus how much of it still sits in the design-win stage.

AttributeOusterAeva
Lidar architectureTime-of-flight digital lidarFrequency-modulated continuous-wave (FMCW) lidar with direct velocity measurement
Disclosed customer mixIndustrial automation, robotics, smart infrastructure, automotive, and a defense/counter-UAS-adjacent segmentAutomotive validation programs (Daimler Truck, Nvidia DRIVE Hyperion reference sensor), Nikon industrial inspection, and one named defense-adjacent customer, Forterra
Most recent disclosed growthQ2 2026 lidar shipment volume up 70% year over year, a unit metric rather than a revenue figureQ1 2026 revenue of $6.3 million, up 90% year over year; full-year 2026 guidance of $30 million to $36 million
Defense/drone exposureIndirect, through system integrators buying its sensors for drone and counter-UAS platformsIndirect and narrower, through one disclosed autonomous-ground-vehicle customer, Forterra, with no confirmed aerial or drone program
Revenue diversificationBroad, no single end market disclosed as dominantConcentrated in automotive design wins still converting to production
Qualitative comparison only, built from each company's own disclosures and earnings materials. No share prices, returns, or ratings.

Why the Two Get Compared

Ouster and Aeva show up together for a simple reason. Both are small, public, pure-play lidar suppliers riding the same autonomy and "physical AI" demand wave, rather than a captive sensor division inside a larger conglomerate. That makes them two of the cleanest public proxies for lidar demand a researcher can actually buy.

The comparison that matters is not which architecture is technically better in isolation. FMCW's direct velocity reading is a real capability time-of-flight lidar lacks. Ouster's time-of-flight approach, in turn, is a more mature, lower-cost design with a longer commercial track record. Neither edge settles the investment question by itself. What matters more for an investor is which company's revenue is already diversified enough to absorb a single customer's slowdown. Ouster's broader disclosed customer base currently answers that question better than Aeva's does.

The Defense and Counter-UAS Angle Specifically

A reader who came to this comparison for drone or counter-UAS exposure should size both companies' defense revenue as a small slice of a larger sensor business, not as the main event. Ouster names a defense and counter-UAS-adjacent segment inside its broader industrial and robotics customer base. It does not disclose what share of total revenue that segment represents. A single contract win or loss there would not obviously move the company's reported results either way.

Aeva's defense-adjacent exposure is narrower, but it is also more traceable. One named customer, Forterra, builds autonomous ground vehicles rather than aircraft. Forterra picked Aeva's 4D lidar specifically for its long range and reduced detectability by night-vision systems. That is a real operational reason a ground-vehicle integrator would choose FMCW over a cheaper time-of-flight sensor. Forterra later expanded the relationship to a second ground-vehicle program, a genuine signal of customer satisfaction. It is still one customer, though. Forterra's own program funding and timeline carry outsized weight in Aeva's defense story, in a way no single customer does for Ouster.

Neither company has disclosed a counter-UAS or aerial-drone lidar contract with a named military or law-enforcement buyer. A researcher chasing pure counter-drone exposure through either ticker is buying a supplier bet on future contracts, not a confirmed revenue line.

What the Disclosed Revenue and Customer Data Shows

Ouster reported lidar shipment volume up 70% year over year in the second quarter of 2026. That is a unit metric. It shows demand growth, but not, on its own, revenue growth or gross margin, since average selling price varies by end market. The company's customer base spans industrial automation, robotics, smart infrastructure, automotive, and a defense and counter-UAS-adjacent segment. No single contract or sector announcement should move the read on the whole business by much.

Aeva's first-quarter 2026 revenue of $6.3 million, up 90% year over year, and its full-year guidance of $30 million to $36 million describe a much smaller, faster-growing, and more concentrated business. Nvidia selected Aeva's 4D lidar as the reference sensor for its DRIVE Hyperion autonomous-driving platform. Aeva also completed on-road validation of Atlas B-sample sensors for Daimler Truck, with C-samples planned for 2026 as the exclusive long-range lidar for Daimler Truck's production autonomous trucks. Those are real, named design wins. They are also still validation-stage or early-production commitments, not the kind of multi-year, multi-customer revenue base Ouster already reports.

On the defense side specifically, Aeva's only disclosed win is Forterra. Forterra selected Aeva's 4D lidar for autonomous ground vehicles and later expanded that selection to a second ground-vehicle program, citing the sensor's long range and reduced detectability by night-vision systems. That is a genuine defense-adjacent contract. It is still one customer in one vehicle category, though, not the multi-sector defense exposure Ouster's broader disclosed customer list already carries.

The unit-versus-revenue distinction matters for a third reason: it changes how a researcher should read next quarter's headlines from either company. A shipment number can rise even if pricing or margin falls, so a follow-on Ouster release touting unit growth again is not, by itself, evidence its revenue mix has become any less diversified than it is today.

Who This Comparison Is Not For

Neither Ouster nor Aeva is a fit for a researcher who wants a pure-play military drone or counter-UAS stock. Both are component suppliers. Their defense and drone revenue depends on other companies buying their sensors for a finished platform. A single lidar contract announcement from either company says little about the airframe or vehicle program it feeds into. For that kind of exposure, the military drone stocks screen and the counter-UAS research page name the platform builders and system integrators directly.

What Would Change Our Answer

If Aeva's Forterra relationship expands into a named aerial or drone program, or if Daimler Truck's planned C-sample validation converts into a confirmed production order with a disclosed volume, Aeva's concentration risk would look materially different, and the case for it would strengthen relative to Ouster. The reverse also holds: if Ouster's defense and counter-UAS-adjacent segment shrinks as a share of its total disclosed revenue, that would weaken the diversification argument this comparison currently makes in its favor.

How to Use This Comparison

Treat shipment-volume growth and revenue growth as two different metrics. Confirm which one a company is actually reporting before comparing it across names. Ouster's 70% figure is a unit metric. Aeva's 90% figure is a revenue metric. Cross-check both companies' own quarterly filings on SEC EDGAR for the segment or end-market breakdown behind each headline growth number, rather than relying on a single trade-press summary.

For a third lidar data point, MicroVision reported a comparable wave of new sensor orders in August 2026. It is worth checking alongside Ouster and Aeva before concluding that either company's growth is unique to its own product rather than a sector-wide demand cycle. The unmanned ground vehicles page covers the broader autonomy-hardware category Forterra competes in, for a researcher who wants Aeva's defense exposure in context.

One more check before sizing either position: read the next two quarterly releases from each company side by side, not just the most recent one. A single strong quarter can mask a customer concentration problem. That problem often only shows up once a design win either converts to a production order or stalls. The pattern is easier to see across two or three quarters than in any single headline number.

Drones and UAS FAQs

Which is the better lidar stock, Ouster or Aeva?

Ouster carries less concentration risk today because its disclosed revenue already spans industrial, robotics, automotive, and a defense-adjacent segment. Aeva is smaller and growing faster off a lower base, with real design wins at Nvidia, Daimler Truck, and Forterra, but more of its revenue still depends on those wins converting from validation into production.

Does Aeva sell lidar for military drones?

Not as a confirmed, named program. Aeva's one disclosed defense-adjacent customer, Forterra, builds autonomous ground vehicles, not aircraft, so any drone or aerial counter-UAS exposure for Aeva is unconfirmed rather than a current revenue line.

What is the difference between FMCW and time-of-flight lidar?

FMCW lidar, the type Aeva builds, measures a target's velocity directly at the same instant it measures range, using a continuous frequency-modulated laser signal. Time-of-flight lidar, the type Ouster builds, measures range by timing a light pulse's round trip and has to infer velocity by comparing successive frames.

Is Ouster's 70% growth figure a revenue number?

No. The 70% year-over-year figure Ouster disclosed for the second quarter of 2026 is lidar shipment volume, a count of units shipped, not a revenue or gross-margin figure. Check Ouster's own investor relations page for the associated dollar figures before treating the shipment number as revenue growth.

Can I buy Ouster or Aeva through a normal brokerage account?

Yes. Both trade on the NYSE under their own tickers, OUST for Ouster and AEVA for Aeva, so either is accessible through a standard brokerage account, unlike many of the privately held defense-technology companies this site also covers.

Does either company sell lidar for counter-UAS or military drones specifically?

Not as a named, confirmed contract for either company. Ouster discloses a defense and counter-UAS-adjacent customer segment without naming a specific military buyer or program, and Aeva's only defense-adjacent customer, Forterra, builds ground vehicles, not aircraft. A researcher chasing pure counter-drone exposure through either ticker is betting on a future contract, not buying a confirmed revenue line today.

Why does Forterra prefer FMCW lidar over cheaper time-of-flight sensors?

Forterra has cited two specific reasons in disclosures about its Aeva relationship: longer effective range and reduced detectability by night-vision systems. Both matter more for a ground vehicle operating in a contested or low-light environment than for a passenger car or a warehouse robot, which is why a defense-adjacent buyer may accept FMCW's higher per-unit cost where a commercial buyer would not.

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An editor's note on method. Every full article carries a named author, uses filings and primary sources instead of aggregators, and is dated on publication. Informational only — not investment advice · We hold no positions.Read our method →

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