The Price Nobody Paid in a Market
Leju’s prospectus puts robot data collection into a revenue table, and the number it puts there is not the price of data. It is the price the state is paying to build the capacity to produce data. The two are different things, and the difference is the whole document.
The surface reads like a demand story. Leju Intelligence, the Shenzhen humanoid maker that filed for ChiNext in May as the first company under the board’s new fourth listing standard, sold 577 units of its full-size Kuavo robot in 2025, up from 32 the year before. Kuavo revenue rose roughly twelvefold to RMB 177.8 million and carried the company across the RMB 200 million revenue threshold the new standard requires. Third-party trackers put Leju’s 2025 humanoid shipments third or fourth globally depending on the count. The company’s last private round closed at a post-money valuation of RMB 4.33 billion, and it is now asking public markets for RMB 2.6 billion.
Read the revenue table by customer instead of by product and the story changes shape. The single largest destination for Kuavo robots in 2025 was not factories and not universities. It was data collection centers, government-backed facilities that buy humanoid robots in order to record what the robots do, so that the recordings can train the models that will one day run the robots. By the company’s own scenario breakdown, data collection accounted for 44.94% of Kuavo product revenue, ahead of research and education at 32.50%.
Who runs these centers is the question the rest of this piece answers, because the answer is: to a substantial degree, Leju does, in joint ventures with local state capital, some of which also sits on Leju’s own shareholder register. The buyer, the shareholder, and the joint-venture partner are in more than one case the same entity.
That is not a scandal. It is a design, and it is a design China has run before at the bottom of this publication’s stack, when local governments built fab capacity ahead of any market that could pay for it. What it is not, is a market price for robot data. Anyone using Leju’s 2025 revenue line to size the embodied-AI data economy is measuring fiscal willingness to build infrastructure, not commercial willingness to buy data. The distinction decides what a RMB 4.33 billion valuation is actually resting on, and that is where this piece ends up.
What a Data Collection Center Actually Is
Start with why these facilities exist at all, because the mechanism is the part most coverage skips.
A large language model trains on text that already exists. The internet is its warehouse, scraped at near-zero marginal cost. A robot control model has no such warehouse. What it needs is trajectory data: synchronized streams of what the robot saw, what command it received, what its joints did, and what happened in the physical world as a result. This data does not exist until a physical robot performs a physical task somewhere, with sensors recording. Simulation can stretch it but not replace it, because policies trained purely in simulation degrade when they meet real friction, real lighting, real clutter. The industry calls this the sim-to-real gap, and it is the reason embodied AI cannot repeat the LLM playbook. Robots cannot read the internet. Their training data has to be manufactured, one demonstration at a time, on real hardware.
A data collection center is a factory for exactly that. Take a hall, fill it with staged task environments, put in fleets of humanoid robots and human teleoperators, and run demonstrations all day. Leju’s own fundraising documents describe the business model of these centers in two lines: selling data products, meaning standardized training datasets, and renting the training facilities, meaning opening the site and the robot fleet to model developers who want to collect their own custom data.
Notice what the robot is in this arrangement. It is not labor and it is not a product feature. It is capital equipment on a data production line, the way a lithography tool is capital equipment on a wafer line. And that single fact is what connects the middle of China’s machine to the bottom of it. When a government entity buys a fleet of humanoids for a data center, it is making the same category of bet Hefei made when it capitalized a DRAM fab: build the production capacity first, at state expense, and let the market for the output arrive later.
The output here is trajectory data, the scarcest input in the embodied-AI stack. Which means the purchase price of the robots is, economically, the first observable number anywhere in China’s disclosure record that attaches money to the production of that data. It is a capacity price, not an output price. Holding that distinction is the discipline the rest of the analysis needs.
The Buyer, the Shareholder, and the JV Partner Are the Same Entity
Now trace who is writing the checks, because the prospectus lets you do it name by name.
Between June 2025 and January 2026, Leju and its subsidiaries co-founded six data collection center operating companies with local state capital, in six cities. Beijing Shuju was registered on June 17, 2025, with Leju’s Shanghai data subsidiary holding 37.76% and Beijing Shijingshan Industrial Development, a district-government vehicle, holding 39.31%. Wujiang Zhixun followed one day later in Suzhou, 49% Leju, 51% split between two district state-owned investors. Then Hefei Data in November, 39% Leju beside Hefei state capital. Qingdao Zhixun in November, 49% Leju, 47% Qingdao Gaoke Industrial Development. Shandong Zhixun in January 2026, 49% Leju beside a provincial state group. Ningbo Juci in January 2026, 49% Leju beside Cixi municipal industrial capital. Six ventures, seven months, every one of them minority-held by Leju and majority-funded by local government money, every one of them registered to operate humanoid data collection centers.
Hold that list against two other lists in the same document.
The first is the shareholder register. Beijing Shijingshan Industrial Development, the district vehicle that owns 39.31% of the Beijing data center venture, also bought into Leju itself in October 2025, at RMB 72.11 per share, and holds 0.58% of the company at filing. Its sister fund under the same district state-asset umbrella holds another 0.69%.
The second is the customer table. Leju’s five largest customers of 2025 include Beijing Shijingshan Industrial Development and Qingdao Gaoke Industrial Development. The same Shijingshan entity, in the same fiscal year, was Leju’s joint-venture partner in a data center, an equity investor in Leju, and one of Leju’s largest robot buyers. Qingdao Gaoke was a JV partner and a top-five customer. The largest revenue scenario in the company’s breakout, the 44.94%, is substantially a market that Leju co-founded, with counterparties who also sit above it on the cap table.
One more clause in the filing shows how both sides priced this arrangement. In the Wujiang venture, Leju’s subsidiary gave the two state shareholders a written undertaking: if the data center has not turned a net profit by fiscal 2027, Leju will take the state shareholders’ equity off their hands. The government partners, in other words, did not underwrite the data business’s commercial risk. They bought robots, seeded the venture, and secured an exit if the market for the output fails to arrive on schedule. That is not how a customer behaves. It is how a landlord providing policy capital behaves, and it is the single most honest price signal in the entire structure: the state’s own downside case is that trajectory data may not find a paying market by 2027.
Say plainly what this is and what it is not. It is not fabricated revenue. The robots are real, the deliveries are audited, and the exchange will interrogate every related-party linkage in the inquiry process. It is the Hefei playbook applied one layer up the stack: local governments building data production capacity ahead of demand, exactly as they built wafer capacity ahead of demand, accepting years of losses as the cost of owning a strategic input. The physical machine here only moves because the institutional machine is pushing it. But a demand curve made of policy capital tells you what the state will spend, not what the data is worth. Those readings diverge, and the divergence is measurable in Leju’s own accounts, which is where the next section goes.
The Replacement Right: Why Even the Fiscal Price Is Understated
The average selling price of a Kuavo robot in 2025 works out to RMB 308,000 per unit, from RMB 177.8 million of recognized revenue across 577 units sold. Against 2024’s average near RMB 414,000, that is a fall of roughly a quarter, and most coverage filed it as price war. The prospectus itself says the decline has two components, and the second one matters more than the first.
The first component is ordinary: an aggressive market-pricing strategy to win share, the same discount curve every Chinese hardware category rides. The second is an accounting mechanism specific to the data center contracts. In Leju’s own explanation of why its margins sit below Unitree’s, the company discloses that a high share of 2025 revenue came from data collection centers, and that some of those sales contracts grant the buyer a right to one future product replacement. Under revenue rules that right is a separate performance obligation. The contract price gets split, the portion attached to the replacement right is deferred, and 2025 recognizes only the delivered portion.
Follow the consequence through the statements. The RMB 308,000 recognized per unit is a net figure after carving out an undelivered obligation, so the full contract price per robot sits above it by an amount the filing does not, in the sections available, quantify. The same mechanism leans on the margin line: Leju’s blended gross margin fell from 50.45% in 2023 to 44.30% in 2024 to 40.78% in 2025, and the company attributes part of the final leg to recognizing partial revenue against costs already incurred. The reported 2025 margin is structurally depressed, and it will partially reflate in whichever period the replacement obligations settle.
Two readings follow, and both are worth carrying out of the free layer.
For anyone benchmarking robot prices, the first observable fiscal price of data production capacity in China is at least RMB 308,000 per humanoid unit, with the true contracted figure above that line pending the deferred portion. Every cost model of a robot data operation, including the robot-hour construction this publication is building toward, inherits that floor.
For anyone reading Leju’s income statement, the data center contracts cut in both directions at once. They are the growth engine, the margin drag, and a stored release of future revenue, all in the same line item. The buyers embedded an option to swap early hardware for better hardware, which is rational behavior for an infrastructure owner expecting the equipment to be obsoleted by its own output: the data these robots produce trains the models that will make this generation of robots worth replacing. The contracts have the obsolescence loop priced in. The income statement is carrying a liability that is, mechanically, a bet on the machine improving.
That is the free layer complete: what a data collection center is, who actually funds it, and why even the fiscal price on the page understates itself. What remains is the part that moves a valuation. The paid layer prices the fiscal price, triangulates it against Leju’s own RMB 616 million internal cost of building a dataset, and names the disclosure, now pending at the Shenzhen exchange, that will settle whether this structure is a bridge to a data market or a substitute for one.
Pricing the Fiscal Price
Three numbers in the filing let you triangulate what the state is actually paying, and the third one is the surprise.
The first is the equipment price. At least RMB 308,000 per humanoid unit on a recognized basis, with the full contract price above that pending the deferred replacement obligation. This is what a data collection center pays for one unit of data production capacity.
The second is the demand quantum per city. Beijing Shijingshan Industrial Development alone bought RMB 33.4 million of product from Leju in 2025, which is 12.94% of the company’s entire revenue from a single district-government counterparty that also holds its equity and co-owns its Beijing data venture. Scale that across the scenario table and data collection took 44.94% of the relevant revenue base in 2025. Either way, the order of magnitude of one year of fiscal appetite, per participating city, is tens of millions of yuan, and six cities signed up within seven months.
The third number is what it costs to turn that capacity into the actual product, and Leju priced it itself. The RMB 616 million dataset construction project in the fundraising plan breaks down, in the company’s own feasibility arithmetic, as follows: RMB 32.4 million for premises, RMB 31.1 million for equipment purchase and installation, RMB 16.0 million for software, RMB 7.9 million of contingency, RMB 282.2 million for R&D personnel wages, and RMB 246.6 million of other R&D expense, over a 48-month build.
Read that decomposition slowly, because it inverts the picture the hardware revenue paints. In Leju’s own accounting of what a dataset costs to manufacture, equipment is 5.05% of the bill. Wages and R&D expense are 85.8%. The robot, the thing the data collection centers are spending tens of millions per city to acquire, is a rounding error in the cost structure of the output it exists to produce. Data, at 2026 prices, is made of people: teleoperators, annotators, quality reviewers, the human demonstration labor that no amount of capital equipment removes from the loop yet.
Two capital consequences follow.
The first is about measurement. The fiscal price this piece has been tracing, the robot purchase orders flowing from state-backed centers, captures the smallest slice of what trajectory data actually costs. Anyone sizing China’s embodied-data economy off hardware procurement is measuring the lithography tool and ignoring the fab’s payroll. The robot-hour cost this publication is building toward will be dominated by the labor term, and Leju’s own budget just told you the ratio: on the order of seventeen yuan of human cost for every yuan of equipment cost. That is the number the teleoperation piece in this sequence will have to survive contact with.
The second is about the valuation. Leju’s last private round implies roughly 16.8 times 2025 revenue, and the fourth-standard listing rests on a projected market value above RMB 3 billion. The load-bearing assumption under both is that the 44.94% scenario either persists or converts into something a private customer pays for. The persistence case is policy-cyclical: six ventures in seven months is the signature of a policy window, opened by the August 2025 State Council AI-plus opinion and the Fifteenth Five-Year Plan’s embodied-intelligence training-ground language, and policy windows that open on that schedule can close on one. The conversion case runs through the data centers’ own income statements, which do not consolidate into Leju’s and which the Wujiang undertaking tells you the state partners themselves would not underwrite past 2027. The revenue line is real. The question the multiple is silently answering is whether it is a market or a program, and the filing, on its own, cannot answer it.
Set this beside the series. This publication’s read of China’s three humanoid IPOs found that 41 to 51 percent of their combined RMB 9.31 billion raise was earmarked for model development rather than hardware. Leju pushes the line further: 59.84% of its RMB 2.6 billion goes to the research center and the dataset project combined. The hardware companies are becoming the financing vehicles for the data and model layer, and Leju is the purest case yet, because its hardware revenue itself already comes, in its largest part, from the data layer’s construction budget. The machine is eating its own capital structure from the middle out.
The Document That Will Settle It
The thesis of this piece is falsifiable, and the document that will test it is already in process at the Shenzhen exchange.
Leju’s application moved to inquiry status on May 26. The response, not yet published as this piece goes out, will be the highest-yield document in this story, for a reason internal to the filing itself. The prospectus reports related-party sales of RMB 737,200 in 2025, which is 0.29% of revenue. The same prospectus reports RMB 33.4 million of 2025 sales to Beijing Shijingshan Industrial Development, an entity that holds Leju equity and co-owns Leju’s Beijing data collection venture. Both numbers are audited and both are, under current related-party definitions, simultaneously correct: a 0.58% shareholder that partners with your subsidiary in a joint venture you do not control sits outside the disclosure perimeter of related-party transactions as the rules define them. The buyer, shareholder, and JV partner triangle is legal, audited, and invisible to the one table investors check for exactly this pattern. The inquiry process exists to test perimeters like that one, and a fourth-standard first case will be tested hard.
Watch for three things in the response. First, the customer-by-customer decomposition of data collection revenue, and whether the exchange forces a related-party or quasi-related-party characterization of the shareholder-customers. Second, the replacement-right accounting: the deferred quantum, the expected settlement window, and therefore the size and timing of the margin reflation currently stored in the contract liabilities. Third, sustainability questioning: whether the 2025 data center orders carry into 2026 order books, which the exchange will ask because the fourth standard’s growth requirement makes it existential.
The outcomes map cleanly. If the response shows the co-founded centers already booking meaningful data product revenue from third-party model developers, the fiscal price is functioning as a bridge, a market price is forming downstream, and the bearish reading of the structure weakens. If it shows robot revenue concentrated in co-founded centers with no downstream data sales to speak of, the structure is, for now, a program wearing a market’s clothes, and the 16.8 times multiple is pricing a fiscal appetite with a 2027 sunset written into its own JV agreements. The middle case, partial third-party revenue with heavy concentration, is the likeliest and the hardest, and it would make the 2027 Wujiang test date the single most informative deadline in China’s embodied-data economy.
Step back to the whole machine. At the bottom of the stack, China built wafer capacity ahead of demand with fiscal capital, and a decade later CXMT is pricing an IPO. In the middle, it is now building data capacity ahead of demand with the same playbook, the same district vehicles, the same patient losses. The substrate strategy took ten years to produce a market price. The data strategy has given itself two. The first observable number is on file in Shenzhen, and it is a fiscal one. The market one does not exist yet, and this publication will be watching the exact documents where it would first appear.
Inside China’s Machine is research, not investment advice. Confirmed figures are drawn from Leju Intelligence’s ChiNext prospectus, declaration draft filed May 19, 2026, including shareholdings, joint-venture registrations and stakes, revenue, margins, the related-party sales line, and the fundraising allocation. The scenario revenue split, the Shijingshan customer figure, and the dataset project cost lines are reported from coverage citing the prospectus and reconcile arithmetically to the filed totals, but were not checked against the filing’s own tables this session. The Shenzhen exchange’s inquiry response was unpublished as of this writing. Statements about the inquiry outcome and the 2027 Wujiang profitability test are Projected. Current as of July 17, 2026.