6 Best Small-Cap Humanoid & Service Robotics Stocks — June 2026

Humanoid robotics is the hottest theme in AI hardware right now — Tesla's Optimus, Figure 02 with its OpenAI partnership, 1X NEO, Apptronik Apollo, Agility Digit. The honest framing is that none of those companies are accessible as US-listed small-caps: Tesla is mega-cap, the rest are private. The small-cap humanoid pure-play does not exist (yet).

What does exist is the adjacent small-cap layer — service-robotics platforms shipping today, the LiDAR and perception sensors that humanoid R&D platforms depend on, and the additive-manufacturing tools used to prototype actuator housings and structural components. Below: six US-listed small-cap names (market cap <$2B) with current exposure to the broader humanoid + service-robotics buildout, ranked by our May 24 score snapshot.

Why There Is No US Small-Cap Humanoid Pure-Play

The humanoid robotics roadmap has played out the same way every previous frontier-tech wave did. Capital concentrated in venture-funded private companies (Figure raised ~$2.5B through 2025, 1X Technologies $470M, Apptronik $350M); strategic investors (Microsoft, NVIDIA, OpenAI, BMW) participated directly rather than through public-market vehicles; the public-market exposure ended up as either mega-caps (Tesla, NVIDIA) or pre-revenue SPACs that have not yet made it to market.

That structural gap is the small-cap investor's setup. The path to a public humanoid pure-play runs through either (a) a mid-2026 to 2027 IPO window for Figure or 1X, or (b) one of the service-robotics small-caps below pivoting hard into a humanoid SKU. Neither is in your control. What is in your control is exposure to the enabling layer.

The Names

OUST — Ouster, Inc.

Score: 62.2 (SOLID) | Market cap: $1.81B | Revenue YoY: +52.5% | Rule of 40: 8.8 | Cash runway: 20 months

Ouster makes digital LiDAR sensors — the OS-series scanning units that have become a default perception layer for industrial robots, autonomous trucks, robotaxis, and yes, humanoid R&D platforms. Revenue YoY +52%, Rule of 40 ~9 (positive), market cap pushing the $2B ceiling on our small-cap definition. The merger with Velodyne in 2023 consolidated US LiDAR pure-play exposure into essentially this one ticker. Cash runway ~20 months gives execution window into an expected 2026-2027 positive-FCF inflection. → See full OUST score card

NNDM — Nano Dimension Ltd.

Score: 70.3 (SOLID) | Market cap: $0.40B | Revenue YoY: +77.3% | Rule of 40: -11.7 | Cash runway: 24 months

Nano Dimension makes additive-manufacturing systems for multi-material electronics — printing circuit boards, sensor arrays, and embedded components directly, which is the kind of geometry that humanoid-robot integrators need for compact actuator-and-control modules. The 2024-2025 Markforged + Desktop Metal acquisition activity reshaped the company into a broader 3D-printing platform. Revenue YoY +77% reflects the M&A roll-up rather than organic growth. Cash runway ~24 months. SOLID score is driven by balance-sheet strength post-deals, not yet by integrated-business operating leverage. → See full NNDM score card

MTLS — Materialise NV

Score: 61.8 (SOLID) | Market cap: $0.32B | Revenue YoY: +0.3% | Rule of 40: 3.7 | Cash runway: net cash

Materialise is a Belgian additive-manufacturing software and service company — the underlying software platform that runs many 3D-printing workflows in medical, industrial, and academic settings. Revenue YoY essentially flat (+0.3%), so the SOLID score is balance-sheet-driven (net cash, durable cash flow) rather than growth-driven. The robotics-relevance is indirect: Materialise tooling is widely used in humanoid-robot prototyping and short-run actuator housings. Not a high-growth bet — more of a quality-of-balance-sheet picks-and-shovels play. → See full MTLS score card

RR — Richtech Robotics Inc.

Score: 51.5 (SPECULATIVE) | Market cap: $0.55B | Revenue YoY: +19.0% | Rule of 40: -336.7 | Cash runway: 257 months

Richtech Robotics ships service-robot platforms for hospitality and retail — ADAM is a two-armed beverage-prep robot (coffee, cocktails), Scorpion handles bar service, plus a delivery-tray fleet for hotels and casinos. Closest thing in our universe to a humanoid-form commercial robot. Revenue YoY +19% on a small base; runway ~257 months reflects a balance sheet rebuilt by the 2025 raises, so dilution risk is structurally lower than the rest of the robotics small-cap universe. The honest read is unit-economics ambiguity — gross margin discloses inconsistently across the robot SKUs, and recurring-revenue mix is still small. → See full RR score card

SERV — Serve Robotics Inc.

Score: 41.8 (SPECULATIVE) | Market cap: $0.71B | Revenue YoY: +46.2% | Rule of 40: -4207.6 | Cash runway: 16 months

Serve Robotics runs autonomous sidewalk delivery robots — fleet currently active in Los Angeles, Dallas, San Jose, and Vancouver under an Uber Eats partnership. NVIDIA is a strategic investor and supplies the Jetson Orin compute stack. Revenue YoY +46% on small absolute base; the deeply negative Rule-of-40 (~-4,200) reflects the gap between fleet-deployment cost and per-delivery unit economics — Serve is in the spend-to-scale phase, not the operating-leverage phase. Cash runway ~16 months is the binding constraint. The thesis is fleet-density crossover: once a city reaches ~500 robots, the per-delivery cost falls below human courier rates. Serve is the only US-listed sidewalk-delivery pure-play. → See full SERV score card

AEVA — Aeva Technologies, Inc.

Score: 33.2 (HIGH RISK) | Market cap: $0.99B | Revenue YoY: +99.4% | Rule of 40: -606.3 | Cash runway: 8 months

Aeva builds FMCW (frequency-modulated continuous-wave) LiDAR — different physics than Ouster's time-of-flight approach, with native velocity measurement on every point return. Strategic partnerships with Nikon (industrial inspection) and Daimler Truck (autonomous Class-8). Revenue YoY +99% off a small base. Cash runway ~7.5 months is the obvious constraint — a financing event is the most likely 2026 H2 catalyst, which keeps the score in HIGH-RISK despite the design-win momentum. The FMCW technology read is the bull case; the balance sheet is the bear case. → See full AEVA score card

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How to Think About This Basket

These six names map to three different exposures. Service robotics (SERV, RR) gives direct operating-leverage exposure to robot fleets that are shipping today; the trade is binary on unit-economics crossover. Perception sensors (OUST, AEVA) is the most defensible structural play — every robotics roadmap, humanoid or otherwise, needs the LiDAR or vision stack, and the two US-listed pure-plays here capture most of that flow. Additive manufacturing (NNDM, MTLS) is the picks-and-shovels layer that benefits from R&D capex across the entire robotics industry without taking technology risk on any single platform.

The bear case across all six: humanoid commercialization slips to 2030+, the AI-narrative premium compresses, and these names re-rate back to industrial-machinery multiples. Sizing should match a multi-year option-value setup, not a 2026-earnings trade.

How We Scored

Our model rates every US small-cap stock (market cap <$2B) across eight fundamentals: revenue growth, gross margin, cash runway, debt/equity, P/S ratio, Rule of 40, insider ownership, and 12-month dilution. Sector-adjusted where appropriate. Scores refresh weekly. See methodology or browse all small-cap technology stocks.

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Data as of May 28, 2026. Updated monthly. Past performance does not guarantee future results. Not investment advice.