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Agility Robotics tests public desire for humanoids at a discount to private peers

  • Booked revenue could overstate demand
  • Manufacturing may matter as much as AI

Agility Robotics’ public-market debut will test investor support for a roughly USD 2.5bn valuation for an early leader in humanoid robotics, a mark well below what private humanoid rivals carry, and one that rests largely on orders rather than revenue.

In June, Agility agreed to go public through a merger with special purpose acquisition company (SPAC) Churchill Capital Corp XI, giving investors a direct opportunity to assess whether the company can convert interest in humanoid robots into repeatable deployments, improving unit economics, and sustained customer demand.

The transaction is expected to generate more than USD 620m in gross proceeds, including USD 420m held in Churchill XI’s trust account and more than USD 200m from a PIPE led by existing investor Foxconn. The merger is expected to close in the fourth quarter of 2026.

The deal comes as investor enthusiasm for humanoid robotics outpaces the technology’s current role in warehouse and industrial automation. It also arrives amid a revival in SPAC issuance, which has reopened a path to public markets for capital-intensive businesses.

“The humanoid market is very interesting, but it is an extremely small part of the market today,” said Scott Stevens, founder of investment firm Grays Peak Capital.

While the market will grow, investors can devote too much attention to humanoids relative to other forms of automation already being deployed, he said.

Private humanoid developers carry considerably higher valuations. Apptronik raised more than USD 935m across its Series A at a reported valuation above USD 5bn, while Figure AI in September said it closed more than USD 1bn in Series C funding at a USD 39bn post-money valuation.

Stevens said he considers Agility slightly weaker than Apptronik and Figure AI on deployments, technology, and capital position, and would expect it to be valued at a discount. Private markets also typically carry a premium to public ones, he added.

Deployments over demos

Nicolas Sauvage, president of TDK Ventures, said his conviction in Agility predates the current wave of humanoid enthusiasm.

TDK Ventures, which remains an investor alongside Amazon, Nvidia, SoftBank, and Foxconn, backed Agility in 2020, when humanoid robotics was far less visible as an investment category.

Sauvage said Salem, Oregon-based Agility stood out because it was focused not simply on building a sophisticated humanoid robot, but on developing an industrial system capable of performing useful work in environments designed for people.

He said to watch for increasing numbers of robots being deployed with existing customers, expansion from individual workflows into multiple applications, uptime, utilization, customer return on investment (ROI), and production consistency.

The ability to establish repeatable deployment playbooks across different sites will also be important, he said. That framework could give public investors a way to distinguish Agility from competitors based on commercial execution rather than technological visibility.

Where the volume is

Nick Banich, Miebach Consulting chief revenue officer for the US and Canada, cautioned against equating humanoids with the broader automation opportunity.

Humanoid activity will generate headlines, Banich said, but most near-term deal volume will remain concentrated in technologies with proven multi-site rollouts and demonstrated net revenue retention.

“There is a risk of over-indexing on the most futuristic narratives” such as fully autonomous humanoid fleets and lights-out warehouses, Banich said, at the expense of hybrid systems that are delivering measurable results today.

The highest-return deployments tend to combine fixed automation, mobile robots, software orchestration, and redesigned processes, while retaining people where they add the most value, he said.

Stevens echoed that view, saying there are numerous companies deploying non-humanoid automation today and that humanoids can draw attention away from those businesses. “There are companies we interact with doing USD 300m, USD 500m, a billion of sales that most people would never have heard of,” he said.

Pricing the backlog

Stevens said robotics deals are often priced on multiples rather than earnings.

“On the robotics side, a lot of transactions are just multiple driven, because there really isn’t enough revenue at most robotics companies to justify a traditional valuation matrix,” he said.

Banich said buyers assign lower valuations to standalone hardware and are willing to pay more for robotics-as-a-service and lifecycle services models that generate steadier recurring revenue and higher machine utilization.

That could create a valuation challenge for Agility. The company, which did not respond to a request for comment, is entering the public markets at a time when investors may be attracted to the long-term addressable market for humanoids but still benchmark its near-term economics against more established automation technologies.

In transaction filings, Agility has said it has more than USD 300m in booked, multi-year revenue tied to roughly 1,000 robots, and about 65,000 hours of operation for its Digit robot across nine customer facilities.

The filings describe the figure as potential multi-year value tied to a single three-year robots-as-a-service contract, subject to contractual milestones, and state that it is not a measure of current period revenue. The contract includes warrants issued to the purchaser that vest as robots are deployed. The orders are for a version of Digit that is still in development.

Stevens cautioned that backlog and booked revenue in the sector are often overstated, because the figures do not always rest on signed contracts and “the majority of the customers have the ability to cancel at any time.” Much of the market is looking at the total addressable market and extrapolating from it, he said, while these companies are typically valued on forward revenue multiples that are hard to rely on outside high-growth businesses.

He said he would give minimal weight to orders for a product still in development, questioning how a contract can be binding when the robot has not shipped. Much of the spending in humanoid robotics is research and development rather than commercial deployment, he added.

Proof, not pilots

Manufacturing execution could prove just as important to Agility’s public-market performance as advances in artificial intelligence (AI).

Sauvage said humanoid robotics will not scale like software and that manufacturing discipline will be critical. Quality, supply-chain resilience, production repeatability, and cost reduction will all become increasingly important as companies transition from prototypes to industrial products.

Partnerships with suppliers and contract manufacturers could play a significant role in that process, he noted.

“The companies that win will not only have strong AI or strong hardware. They will have the operational maturity to turn complex machines into reliable products,” said Sauvage.

Gross margins, production yields, reliability, and customer acquisition economics all gain importance as Agility moves into public reporting.

The targets that command attention, Banich said, are the ones with deployments that repeat across sites, a software layer that lifts utilization, and a service business underneath generating recurring revenue.

An additional market risk is that investors may decide that the humanoid opportunity is compelling but still too small to draw capital away from established automation businesses with proven returns.

That leaves Agility facing a difficult balancing act in the public markets. It must preserve the upside associated with leadership in a potentially transformative category while showing that its near-term economics compare favorably with established automation technologies that already generate measurable ROI.

Banich said the companies that win, and the investors behind them, will be the ones delivering measurable performance in real operating conditions rather than the most polished demonstration.

As Sauvage put it, the transition that matters most is “from robot capability to customer trust.”