SENSETIME-W(00020) releases annual performance, with revenue of 5.015 billion yuan, a year-on-year increase of 32.9%.
Shangtang-W (00020) released its annual performance for the year ended December 31, 2025. The group achieved a revenue of RMB 5.015 billion (in the same unit), a YoY increase of 32.9%. The adjusted net loss was RMB 1.956 billion, a YoY narrowing of 54.3%. The loss attributable to equity holders of the company was RMB 1.766 billion, a YoY narrowing of 58.72%. The loss per share was 0.05 yuan.
SENSETIME-W (00020) announced its annual performance for the year ending December 31, 2025. The group achieved a revenue of RMB 5.015 billion, an increase of 32.9% year-on-year; the adjusted net loss was RMB 1.956 billion, a decrease of 54.3% year-on-year; the loss attributable to equity holders of the company was RMB 1.766 billion, a decrease of 58.72% year-on-year; and the loss per share was RMB 0.05.
In 2025, SenseTime continues to focus on the multi-modal large model route it has been cultivating for many years, continuously launching leading performance multi-modal large models that combine multi-modality with deep reasoning and Agent integration, leading the industry in achieving the intertwining of image-text thinking chains and enabling the company's multi-modal comprehensive performance to repeatedly top authoritative evaluation rankings.
Financial efficiency continues to improve, and cash flow remains stable: trade receivables increased by 5.4% year-on-year to reach RMB 4.8709 billion, setting a historical new high; the cash conversion cycle (CCC) significantly improved from 228 days at the end of 2024 to 129 days at the end of 2025; in the second half of 2025, the group's operating cash flow achieved positive net inflow for the first time since listing.
Relying on organizational reshaping and ecological synergy under the "1+X" strategy, the company is taking on a more agile and agile posture, seizing the key strategic position in the era of Agent-native and physical AI with its intergenerational leadership in the integration of multi-modality and spatial intelligence.
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