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鹰瞳科技中期业绩预期盈利
Jing Ji Guan Cha Bao· 2025-08-21 02:10
Core Viewpoint - Beijing Eagle Eye Technology Development Co., Ltd. (2251.HK) anticipates achieving profitability for the six months ending June 30, 2025, following a net loss of approximately 81.5 million yuan in the same period of 2024, with a projected net profit not exceeding 500,000 yuan for 2025 [1] Group 1: Operational Efficiency - The company has implemented AI-driven solutions across its entire business chain, enhancing operational efficiency from customer acquisition to backend services [1] - Human-machine collaboration has shortened business turnaround cycles and improved resource input-output ratios [1] Group 2: Cost Control - The company has transitioned from "passive cost-cutting" to "active efficiency enhancement" through AI management tools [1] - Dynamic monitoring and precise control of core cost items such as procurement, labor, and operations have effectively reduced the proportion of non-core expenditures [1] Group 3: Financial Management - Strengthened credit period management has accelerated accounts receivable turnover, reducing capital occupation costs and promoting financial stability [1] Group 4: Future Outlook - The financial data provided is preliminary and has not been reviewed by independent auditors or confirmed by the audit committee, indicating potential adjustments before the final mid-term performance figures are published [1] - The company plans to release the unaudited consolidated results for the mid-term of 2025 by the end of August 2025, in accordance with listing rules [1]
鹰瞳科技-B(02251)发盈喜 预计中期取得净溢利不超过50万元 同比扭亏为盈
智通财经网· 2025-08-20 11:14
Core Viewpoint - The company anticipates achieving a net profit of no more than RMB 500,000 by mid-2025, a significant improvement compared to a net loss of approximately RMB 81.5 million in the same period of 2024 [1] Group 1: Operational Efficiency - The company has implemented AI-driven solutions across its entire business chain, enhancing operational efficiency from customer acquisition to backend services [1] - Human-machine collaboration has shortened business turnaround cycles and improved resource input-output ratios [1] Group 2: Cost Control - The company has transitioned from "passive cost-cutting" to "active efficiency enhancement" through AI management tools [1] - Dynamic monitoring and precise control of core cost items such as procurement, labor, and operations have effectively reduced the proportion of non-core expenditures [1] Group 3: Financial Management - The company has strengthened credit period management, accelerating accounts receivable turnover and reducing capital occupation costs [1] - These measures promote financial stability and enhance overall financial management [1]