iFlytek: Net profit is expected to increase by 15%-30% year-on-year in 2023, with a target of 645 million yuan-730 million yuan

According to news from this site on January 29, iFlytek released a performance forecast today. The annual net profit in 2023 will be 645 million yuan-730 million yuan, a year-on-year increase of 15%-30%, which was 561 million yuan in the same period last year.

According to the announcement, iFlytek expects a net profit of 80 million yuan to 120 million yuan in 2023, compared with the same period last year. 418 million yuan, a year-on-year decrease of 71% to 81%. Earnings per share are expected to be 0.2785 yuan to 0.3152 yuan, compared with 0.2938 yuan in the same period last year.

iFlytek said that in 2023, while maintaining gross profit margin no lower than the previous year,is expected to achieve operating income of more than 20 billion yuan, an increase of approximately 7% over the previous year; It is estimated that the net profit attributable to the parent company will be 645-730 million yuan, an increase of 15%-30% over the previous year; as of December 31, 2023, the company's net operating cash flow will exceed 300 million yuan.

iFlytek expects its operating income to exceed 7.5 billion yuan in the fourth quarter of 2023, an increase of more than 20% over the same period last year; the gross profit is expected to exceed 3.2 billion yuan, an increase of more than 25% over the same period last year; The company expects single-quarter operating cash flow to exceed 1.4 billion yuan in the fourth quarter.

iFlytek also stated that the company is expected to achieve a net profit of 80-120 million yuan after deducting non-recurring gains and losses in 2023, which is expected to drop 71%-81% from the same period last year.The main reason is that The company is firmly invested in the independent and controllable localization of core technologies and controllable industrial chains. At the same time, it is actively seizing new historical opportunities in general artificial intelligence and increasing investment in the research and development of large cognitive models on independent and controllable platforms.

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