MiniMax Group (HKEX: 0100) rebounded 5.3% to HK$250.60 in mid-morning Hong Kong trading on 17 September. The move follows a volatile month rather than a clean breakout: the shares closed at HK$238 on 16 September and remain well below their HK$395 intraday high on 4 September.
The investor question is whether rapid revenue growth can justify the company's high operating losses and capital intensity. MiniMax's latest results provide stronger evidence than vague references to “AI momentum” or unverified technical indicators.
Growth is real—and increasingly enterprise-led
For the first half of 2026, MiniMax reported revenue of US$116.6 million, up 283.1% year on year and already above its US$79.0 million full-year 2025 revenue. Open Platform and other enterprise AI services rose 703.1% to US$73.9 million, or 63.4% of group revenue. AI-native product revenue doubled to US$42.6 million.
Gross profit increased to US$20.8 million and gross margin improved to 17.9% from 12.1%. That progress matters because inference economics—not just user growth—will determine whether scaling produces durable value.
The cash-burn risk remains substantial
Adjusted net loss widened to US$293.0 million from US$138.7 million, while R&D expense rose 138.8% to US$296.9 million. The adjusted loss was roughly 2.5 times first-half revenue. MiniMax reported a US$1.32 billion cash balance at 30 June, but its definition includes cash equivalents, deposits and several categories of financial assets; investors should not treat the entire figure as immediately available cash.
The balance sheet provides runway, yet the model still depends on converting exceptional top-line growth into materially higher gross margins and lower loss intensity. Future capital raises could also dilute shareholders if spending remains elevated.
How to read the share-price move
At HK$250.60, the shares were about 52% above the HK$165 January IPO price but roughly 37% below the 4 September intraday high. That combination shows how quickly expectations can reset in newly listed AI companies.
- Bull case: enterprise API demand remains strong, infrastructure efficiency lifts gross margin and R&D grows more slowly than revenue.
- Bear case: competition pushes inference prices lower, model-training costs stay high and losses require further external capital.
- What to monitor: enterprise revenue retention, gross margin, adjusted loss as a percentage of revenue, cash consumption and any new share issuance.
The 17 September rebound improves sentiment but does not resolve the valuation question. For long-term investors, the next decisive evidence will come from margin conversion and cash-burn discipline rather than one-day price momentum.
Sources: MiniMax first-half 2026 results; market data from ET Net and historical prices. Image: MiniMax official website.