Yikong Zhijia Dark Pool Breaks Issue: Dips Nearly 20% Intraday, Closes Up 4% | Bell Ringing Moment 易控智驾暗盘破发：盘中一度跌近两成、收涨4%｜敲钟时刻

Summary

YiKong Intelligent Driving (07687.HK) experienced significant volatility during its Hong Kong Stock Exchange dark pool trading session, ultimately closing up 4.07%. However, the intraday amplitude reached 24.68%, indicating substantial divergence between bulls and bears.
The company’s issue price was set at the upper end of the range, HK$87.92, with an issued market capitalization of approximately HK$13 billion. Its static price-to-sales (P/S) ratio stands at roughly 7.9–8.2 times, and the company remains in a net loss position.
The average execution price in the dark pool was lower than the issue price, and the turnover rate was extremely low (0.73%), signaling insufficient liquidity. The late-session rally was primarily driven by a recovery in sentiment toward new IPO subscriptions in the Hong Kong market and a relatively thin free-float share base.
As the world’s first listed company specializing in autonomous driving in mining areas, its listing performance should be evaluated in conjunction with the historical trends of peers such as Cheetah Autonomous Driving and the actual trading volume after its official listing.

Deep Analysis

TL;DR

• YiKong Intelligent Driving (07687.HK) exhibited severe volatility in Hong Kong Stock Exchange dark pool trading, closing up 4.07% despite an intraday amplitude of 24.68%, reflecting significant disagreement between buyers and sellers.
• The issue price was set at the upper limit of the range at HK$87.92, resulting in an issued market cap of approximately HK$13 billion. With a static P/S ratio of 7.9–8.2 times, the company is currently operating at a net loss.
• The dark pool average transaction price fell below the issue price, accompanied by a very low turnover rate (0.73%), indicating poor liquidity. The late-session surge was largely influenced by renewed enthusiasm for Hong Kong IPO subscriptions and a limited free float.
• As the global pioneer in mining autonomous driving stocks, its market performance needs to be analyzed alongside the historical trajectory of industry peer Cheetah Autonomous Driving and the actual trading volume following its official listing.

Why It’s Worth Reading

This article highlights the valuation challenges and liquidity dilemmas faced by "hard tech" enterprises in niche sectors within the capital markets. It offers valuable insights for professionals focused on the commercialization of autonomous driving and IPO investment strategies in Hong Kong. By comparing YiKong Intelligent Driving with Cheetah Autonomous Driving, it helps clarify the pricing logic in the primary-secondary market interface and shifts in investor sentiment for specific tracks, such as autonomous mining vehicles.

Technical Analysis

• Market Performance Data: YiKong Intelligent Driving opened below its issue price in the dark pool at HK$82.70, dipping to a low of HK$71.00 (a decline of nearly 19.2%) before rebounding to HK$92.70, finally closing at HK$91.50.
• Valuation Metrics: Based on 2025 revenue of RMB 1.435 billion, the static P/S ratio calculated using the dark pool closing price is approximately 8.2 times, while based on the issue price, it is around 7.9 times. Since the company is not yet profitable, the Price-to-Earnings (P/E) ratio is not applicable.
• Shareholding Structure and Liquidity: With a total share capital of 148 million shares, eight cornerstone investors subscribed to approximately 50% of the offered shares, which are locked for six months. This has resulted in a thin immediate free float, which is the core structural cause of the stock’s high volatility and low turnover rate (0.73%).
• Peer Comparison: Cheetah Autonomous Driving (03881.HK) serves as a reference point. It broke issue price by 13.69% on its first day of listing in December 2025 but later recovered, aided by catalysts such as inclusion in the Stock Connect program. This suggests that stocks in this track may exhibit characteristics of "initial pressure upon listing, followed by long-term reliance on policy or liquidity improvements."

Industry Implications

• Caution Required When Assessing Liquidity Risks for Niche Track IPOs: For technology stocks with small free floats and high cornerstone lock-up ratios, the price discovery function may fail in the early stages of listing. High volatility will likely become the norm, and investors should beware of the "double-edged sword" effect of a thin float.
• Shift in Valuation Anchors for Early-Stage Commercialization Enterprises: In a net-loss state, the P/S ratio becomes the primary valuation benchmark. However, divergent market expectations regarding the path to profitability lead to sharp pricing fluctuations. The industry must pay attention to the reshaping of valuations during the transition from "concept speculation" to "performance realization."
• Macro Sentiment Disturbs Individual Stock Performance More Than Fundamentals: The late-session rally in the dark pool was mainly attributable to the overall recovery in sentiment, with over 80% of new Hong Kong IPOs rising on their first day since 2026, rather than any sudden improvement in the company’s fundamentals. This indicates that the market’s independent pricing capability for specific hard-tech targets remains weak, relying heavily on broader market Beta.