Baida Precision Reports 226 Million Yuan Loss in 2025

Baida Precision Swings to Over 200 Million Yuan Loss in 2025

According to 36Kr, Baida Precision recently released its 2025 annual performance report, revealing a sharp decline in full-year operating results that shifted from profit to loss compared with the previous year, drawing significant market attention.

Key Financial Data

The report shows that Baida Precision achieved operating revenue of 1.409 billion yuan in 2025, a year-over-year decrease of 8.21%. Net profit attributable to shareholders of the listed company was a loss of 226 million yuan, compared with a net profit of 33.0156 million yuan in the same period last year, marking a swing from profit to loss. Basic earnings per share came in at -1.12 yuan.

Facing the loss situation, the company's proposed 2025 profit distribution plan is as follows: no profit distribution will be made, and there will be no conversion of capital reserves into share capital or any other form of distribution.

Performance Analysis

Looking at the data, Baida Precision's revenue declined by approximately 8%, but the profit side experienced a dramatic reversal — from a profit of over 33 million yuan to a loss of 226 million yuan — suggesting the company may be under significant pressure in areas such as cost control, asset impairment, or other non-recurring gains and losses.

The manufacturing sector is currently at a critical stage of intelligent transformation. Traditional precision manufacturing enterprises face multiple challenges including technological iteration, market competition, and raw material price fluctuations. Against the backdrop of deep integration between AI and smart manufacturing, leveraging digital tools to reduce costs and improve efficiency has become an urgent issue for traditional manufacturers to address.

Future Outlook

For Baida Precision, reversing the loss trend and restoring profitability will be the core task for 2026. In an environment where the smart manufacturing wave is accelerating, traditional manufacturers that actively embrace AI-enabled optimization of production processes and product quality improvements may find breakthroughs in the next round of industrial competition. Whether the company can achieve a performance recovery through strategic adjustments remains worthy of continued attention.