WenYuan ZhiXing Q1 revenue increased by 58%, mass production inflection point not yet reached

On May 13th, WeRide (NASDAQ: WRD) released its unaudited financial report for the first quarter of fiscal year 2026.

On one hand, the company’s total revenue for the first quarter reached 114 million RMB, a year-over-year increase of 57.6%, with product revenue soaring by 116%; on the other hand, the revenue did not meet market expectations of 152.5 million RMB, and the net loss of 389.1 million RMB was also higher than the analyst estimate of 303.5 million RMB.

Affected by the underperformance in profit, WeRide’s stock fell as much as 9.79% during intraday trading on May 13th, then recovered slightly, closing down 0.78%.

This financial report still points to the longstanding issues in the intelligent driving industry: revenue is growing, but R&D spending is burning even faster. The growth rate of technological monetization still struggles to cover the rigid costs required to maintain technological gaps.

The report shows that in Q1, WeRide’s gross profit was 39.6 million RMB, with a gross margin maintained at a relatively high 34.7% in the industry; however, operating losses still reached 431 million RMB, narrowing by 1.2% year-over-year. Among these, R&D expenses of as much as 363.3 million RMB are the main reason for the persistent high losses.

For autonomous driving companies at the critical juncture of technological breakthroughs and mass production ramp-up, training large-scale end-to-end models, establishing data collection systems, and iterating underlying system architectures, R&D investments have no short-term room for contraction.

In terms of business structure, WeRide currently exhibits a typical “dual-track” transitional model, maintaining L4-level long-term technological upper limits through Robotaxi, while entering the OEM supply chain with L2++ assisted driving solutions to generate cash flow.

Operational data shows that WeRide’s global Robotaxi fleet currently maintains around 1,300 vehicles.

In the domestic market, its registered users have doubled compared to the same period last year, with an average of over 17 orders per vehicle per day, peaking at 28 orders. Although the utilization rate of individual vehicle models is increasing, due to current hardware depreciation, safety personnel deployment, and heavy asset operational costs, Robotaxi still has a distance to go before achieving regional or nationwide profitability of its vehicle models.

The company claims that its goal of deploying 200k autonomous vehicles over the next five years is more of a long-term vision, and will not improve financial figures in the short term.

In contrast, the L2++ business aimed at pre-installed mass production is a more immediate core valuation anchor that the capital market is paying closer attention to.

The financial report disclosed that WeRide’s flagship L2++ end-to-end ADAS solution WRD 3.0 has already been designated for nearly 30 models from OEMs such as GAC and Chery, and the first mass-produced passenger car, GAC Aion N60, developed in cooperation with GAC Aion, has officially begun pre-sale.

However, from model designation to actual product revenue realization, there is a long cycle of model development, testing, and delivery. The 116% surge in product revenue in Q1 actually reflects the beginning of the project’s revenue realization phase.

Nevertheless, OEMs, in the current intensely competitive price war in the automotive industry, are extremely strict in squeezing costs from intelligent driving suppliers. Although WeRide attempts to optimize BOM costs through WRD 3.0 by connecting multiple chip platforms, in the initial stage of large-scale delivery, its revenue of 114 million RMB remains relatively weak compared to the high R&D expenditure.

This Q1 financial report from WeRide is a microcosm of the entire intelligent driving industry’s acceleration toward physical AI and large-scale mass production.

As of the end of Q1, the company holds 6.22 billion RMB in cash reserves, providing a necessary safety cushion for subsequent end-to-end data loop construction and fleet expansion.

However, the reaction from the capital markets indicates that as autonomous driving companies increasingly enter the deep waters post-IPO, investors are shifting from simply “watching technology architecture and testing mileage” to strictly scrutinizing “business closed-loop, gross margin, and free cash flow.”

In the coming quarters, whether WeRide can effectively convert the technical potential of nearly 30 designated models into scaled operational revenue and leverage scale effects to substantially reduce per-vehicle R&D costs will be key to reversing market expectations.

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