Home Technology peripherals It Industry iFlytek: Achieve operating income of 19.65 billion yuan in 2023, a year-on-year increase of 4.41%

iFlytek: Achieve operating income of 19.65 billion yuan in 2023, a year-on-year increase of 4.41%

Apr 23, 2024 am 09:19 AM
iFlytek

News from this site on April 22, iFlytek announced tonight that it will achieve operating income of 19.65 billion yuan in 2023, a year-on-year increase of 4.41%; net profit attributable to shareholders of listed companies is 657 million yuan, a year-on-year increase of 17.12%; Basic earnings per share were 0.28 yuan. The company plans to pay a dividend of 1 yuan (tax included) for every 10 shares.

科大讯飞:2023 年实现营业收入 196.5 亿元,同比增长 4.41%

As of December 31, 2023, the company’s net operating cash flow was 350 million yuan, of which the company’s operating cash in the fourth quarter was Net traffic exceeded 1.5 billion yuan.

iFlytek achieved a net profit of 118 million yuan after deducting non-recurring gains and losses in 2023, a decrease of 71.74% from the same period last year. According to official disclosures, the main reason is that the company has firmly invested in the independent and controllable localization of core technologies and controllable industrial chains. At the same time, it is actively seizing the new historical opportunities of general artificial intelligence and building on independent and controllable platforms. Increase investment in the research and development of large cognitive models.

iFlytek also disclosed its first quarter report. In the first quarter of 2024, it achieved operating income of 3.646 billion yuan, a year-on-year increase of 26.27%; net profit loss was 300 million yuan.

Up to now, at the iFlytek Spark Cognitive Model V3.5 upgrade conference held on January 30, iFlytek officially announced the iFlytek Spark Cognitive Model V3.5.

In addition, The language understanding and mathematical capabilities of Spark Cognitive Large Model V3.5 are said to have exceeded GPT-4 Turbo, and the coding capability has reached 96% of GPT-4 Turbo, and multi-modal understanding Reached GPT-4V 91%.

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