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On April 19, the Hong Kong Stock Exchange disclosed that Uisee Technology (Beijing) Co., Ltd. had passed its main board listing hearing, with CITIC Securities serving as the sole sponsor. This L4 autonomous driving company, which has specialized in closed scenarios for nine years, is poised to become another new member of the HKEX autonomous driving sector in 2026.
However, the post-listing information set presents a report card with two faces. On one hand, there is a market share of up to 90.5% in airport scenarios and continuously growing revenue; on the other, cumulative losses over three years exceed 655 million yuan, alongside a steadily rising debt-to-asset ratio.
In 2026, as the autonomous driving industry shifts comprehensively from storytelling to implementation, Uisee Technology's listing represents a public valuation of the closed-scenario business model and serves as an important slice for observing the capitalization process of autonomous driving.
<h2>01 The Financial Duality of the Closed-Scenario &#34;Champion&#34;</h2>
From the perspective of business moats, Uisee Technology chose a path few have successfully traversed.
While most peers fiercely compete on open roads for Robotaxi services, Uisee Technology has rooted itself in closed scenarios such as airports and factory zones, establishing hard-to-replicate first-mover advantages.
According to Frost &amp; Sullivan data, in 2025, by revenue, Uisee Technology held a 3.1% market share among L4 autonomous driving solution providers for commercial vehicles in closed scenarios across Greater China. Specifically, the company captured 90.5% of the market share in airport scenarios and 31.7% in factory zone scenarios. It is the only supplier globally providing large-scale commercial operational L4 autonomous driving solutions for airports. Since starting with Hong Kong International Airport in 2018, the company has expanded its operations to 17 airports in China and 3 overseas airports.
In 2025, the company secured an order for 65 unmanned electric tractors at Urumqi Tianshan Airport. According to Frost &amp; Sullivan data, this represents the largest single-order autonomous vehicle solution deal in the global aviation industry.
However, continuous business expansion has not yet translated into financial break-even.
According to publicly disclosed financial information from Uisee Technology, revenue from 2023 to 2025 was 161 million yuan, 265 million yuan, and 328 million yuan respectively, representing a compound annual growth rate (CAGR) of 42.7%. However, net losses during the same period were 213 million yuan, 212 million yuan, and 230 million yuan, resulting in cumulative losses of approximately 655 million yuan over three years.
One direct reason for the losses is high R&amp;D expenditure.
From 2023 to 2025, R&amp;D expenses for Uisee Technology were 184 million yuan, 196 million yuan, and 234 million yuan respectively, accounting for 114.3%, 74.0%, and 71.2% of revenue in those respective years.
In the rapidly iterating field of autonomous driving, such high-intensity R&amp;D investment is a necessary condition for maintaining competitiveness, but it also imposes a heavy financial burden on the enterprise.
More noteworthy are several structural indicators.
The growth rate of accounts receivable exceeds the growth rate of revenue. From 2023 to 2025, the company's accounts receivable and notes increased from 140 million yuan to 316 million yuan, with their proportion of revenue rising from 87.0% to 96.3%. For an enterprise primarily engaged in B-end project-based work, a lengthened collection cycle means accumulated cash flow pressure.
Changes on the liability side are equally significant. Financial data shows that the company's debt-to-asset ratio rose rapidly from 25.4% in 2023 to 57.5% in 2025, more than doubling in two years.
Combined with the fact that as of December 31, 2025, Uisee Technology held cash and cash equivalents of 113 million yuan, raising funds through the IPO has become a rigid necessity for maintaining normal operations rather than an optional move.
Furthermore, the company's revenue is highly dependent on the domestic market. From 2023 to 2025, revenue contributions from mainland China and Hong Kong accounted for 99.6%, 98.6%, and 99.0% respectively. Although the company stated in its prospectus that it will actively expand into overseas markets, the current scale of overseas business remains very limited.
From the essence of the business model, Uisee Technology's growth relies mainly on the number of new projects rather than the continuous amplification of per-vehicle operating efficiency. This differs structurally from the platform-based extrapolation logic of &#34;fleet-orders-revenue&#34; adopted by Robotaxi enterprises.
A senior industry expert analyzed for Wall Street News that Uisee Technology's advantage in closed scenarios lies in fast implementation, low regulatory resistance, and relatively high certainty in payment collection. However, the disadvantage is that the market capacity of a single scenario has a natural ceiling. Whether Uisee Technology can maintain its core airport business while replicating its capabilities to broader factory zones, industrial parks, and even open road scenarios will determine its valuation elasticity after listing.
<h2>02 The Common Dilemma Behind the Surge of Autonomous Driving Listings</h2>
Zooming out to the entire macro-industry, Uisee Technology's listing is far from an isolated case; rather, it is a facet of the listing wave sweeping the autonomous driving industry since 2024.
According to public market data, in 2025, approximately 15 companies in the autonomous driving supply chain filed applications with the Hong Kong Stock Exchange in a cluster.
The collective surge in listings by autonomous driving enterprises since 2025 is not an accidental trend-following but is closely tied to the development trends of the industry.
Most star domestic autonomous driving companies were founded around 2016, including Uisee Technology.
Today, the maturity dates of US dollar funds and RMB funds involved early on are reaching their peaks, and the IPO betting clauses signed in the past are expiring densely around 2025. Massive capital exit pressures are directly transmitted to the enterprises, making completing an IPO the immediate solution.
Additionally, the policy window dividend is also pushing autonomous driving enterprises toward IPOs.
In the fourth quarter of 2025, the first batch of L3 conditional autonomous driving vehicle access licenses were officially issued domestically. With the policy uncertainties finally resolved, the market sees a legal path from technology burning to product monetization.
From a commercialization perspective, the current stage of enterprise development indeed requires more capital.
Currently, the maturity of technologies such as end-to-end large models has significantly improved the generalization capability of autonomous driving technology. Enterprises have moved from competing on demos to competing on deliveries, and winning the scale war requires massive secondary market funding to replenish ammunition.
However, the lively listing scene contrasts with the calm performance of the secondary market.
On November 6, 2025, Pony.ai and WeRide listed on the HKEX on the same day. Pony.ai's offering price was 139 HKD per share, while WeRide's was 27.1 HKD per share. On the first day of listing, Pony.ai's intraday decline exceeded 14%, and WeRide's decline exceeded 15%.
On December 19 of the same year, Ceres Robotics, founded by Professor Li Zexiang of the Hong Kong University of Science and Technology and known as the &#34;first global autonomous mining truck stock,&#34; listed on the HKEX main board. Its stock price fell 13.69% compared to the offering price on the day, and its market cap dropped below the 10 billion HKD mark.
Even enterprises with the &#34;first stock&#34; halo in niche scenarios cannot escape the overall cautious environment of the market regarding the valuation of the autonomous driving sector.
Looking at the financial performance of listed peer companies, losses remain the dominant theme of the industry.
Pony.ai reported total revenue of 629 million yuan in 2025, up 20% year-on-year, with a net loss of 530 million yuan. WeRide reported total revenue of 685 million yuan in 2025, up 89.6% year-on-year, with a net loss of 1.655 billion yuan.
Even relatively top-tier enterprises are still in the loss-making phase. Horizon Robotics reported full-year 2025 revenue of 3.758 billion yuan, up 57.7% year-on-year, but R&amp;D expenses reached 5.154 billion yuan, up 63.3% year-on-year, accounting for a staggering 137.1% of revenue, with an adjusted operating loss of 2.372 billion yuan.
It is evident that the reason why autonomous driving companies are clustering for IPOs is essentially that their own &#34;blood-making&#34; capabilities cannot cover current needs, necessitating the raising of more funds through IPOs to maintain operations and R&amp;D.
After all, the current track is undergoing rapid iteration from rule-based solutions to large models, end-to-end systems, and world models. Every innovation requires new capital investment, further exacerbating the financial pressure on enterprises.
<h2>03 What Exactly Is Capital Paying For?</h2>
Faced with such a dense cluster of autonomous driving investment targets, attitudes from primary and secondary market investors are becoming unprecedentedly pragmatic and picky. Currently, the industry is mainly divided into three camps, with capital paying logic varying in focus.
The first category is the L2+ pre-installation mass production route for passenger cars, such as Horizon Robotics. They primarily earn money from &#34;shipment volumes,&#34; leveraging the explosive penetration of Chinese new energy vehicles to empower original equipment manufacturers (OEMs) as tier-one or tier-two suppliers.
The characteristic of these enterprises is that although shipment volumes are astonishing and revenue scales are huge, profit margins for intelligent driving suppliers are being severely squeezed under the current &#34;crazy involution&#34; price wars among automakers. &#34;Revenue growth without profit growth&#34; and &#34;pressure on gross margins&#34; are common pain points facing targets in this field.
Another category focuses on the open-road Robotaxi route, such as WeRide and Pony.ai.
They represent the technological peak, belonging to industries with extremely high ceilings. Capital paying for them is a bet on &#34;disrupting future mobility&#34; and imagination of the ultimate outcome.
However, issues such as extreme road conditions and long-tail scenarios on open roads are difficult to eliminate entirely. Coupled with high per-vehicle hardware costs and asset-heavy operating models, the node for these enterprises to achieve comprehensive profitability remains somewhat distant. The market is willing to assign high valuations but requires immense patience.
The third category includes autonomous driving enterprises focusing on closed/specific scenario commercial vehicles, such as Uisee Technology's airport/factory zone solutions.
This category is currently recognized by the capital market as having the shortest monetization path and being the easiest to calculate the &#34;economic account.&#34; In airports or large manufacturing factories, vehicle routes are fixed, speeds are restricted, and regulatory constraints are relatively fewer. However, the problem faced by this category is limited market size.
The aforementioned industry expert believes, &#34;The current capital market is shifting; the market no longer simply pays for future technology but returns to commercial essence to calculate the account for industrial implementation.&#34;
Uisee Technology knocking on the door of the HKEX provides a representative observation sample for the commercial implementation of Chinese autonomous driving commercial vehicles in closed scenarios.
At the 2026 milestone, the narrative of autonomous driving has shed its former frenzy and impetuousness, becoming a hardcore business requiring meticulous calculation, deep insight into industrial pain points, and real sword-and-shield competition in global rivalry.
For the autonomous driving industry as a whole, 2026 is a critical watershed—in this stage where there are no more stories to tell, whether enterprises can run through business models in specific scenarios, control loss scales, and provide clear profitability paths will determine which companies survive the ruthless elimination contest.

驭势科技(北京)股份有限公司

From competing on technology to competing on monetization

- The Hong Kong Stock Exchange announced that Yuanshi Technology is undergoing a mainboard listing hearing, with CITIC Securities as the sole sponsor.  
- The company, specializing in L4 autonomous driving for closed environments, holds a 90.5% market share in airport scenarios but has accumulated losses exceeding 655 million yuan over three years.  
- The listing represents a public valuation of its business model during a significant shift in the autonomous driving industry, where companies face declining investor patience and increasing capital pressures.

Wallstreetcn

CITIC Securities Co., Ltd.

CITIC SEC

Behind Uisee Technology's IPO: A Shift from Technical Narratives to Commercial Validation