Sensetime 0020

Re: Sensetime 0020

Postby winston » Fri Dec 12, 2025 8:34 am

not vested

SenseTime Path to profitability via GenAI growth

As one of the top three large language model (LLM) application players in China, SenseTime is well positioned to ride the industry’s growth.

We believe SenseTime can significantly monetise its cloud/AI model and AI applications given its multimodal leadership.

Coupled with the potential spin-off of costly businesses and cost savings, we expect a 30% FY24-27F revenue CAGR, with profitability in FY27F.

Initiate coverage with an Add rating and HK$3.18 TP (16x FY26F EV/sales).

Source: CGS

https://rfs.cgsi.com/api/download?file= ... B50E42C5AC
It's all about "how much you made when you were right" & "how little you lost when you were wrong"
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Re: Sensetime 0020

Postby winston » Mon Jan 12, 2026 10:41 am

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<Research>CLSA Raises SENSETIME-W's TP to HKD3; Rating Kept Outperform

2025/10/27

CLSA has released a report predicting SENSETIME-W (00020.HK) to trim its adjusted net loss by 53% YoY to RMB2.5 billion in FY25 with growth in generative AI revenue and a decline in operating expenses driven by business restructuring.

The report also highlighted SENSETIME-W's strategic partnership with CAMBRICON (688256.SH), which is expected to help expand its AI computing capabilities through Chinese-made chips.

SENSETIME-W's target price was raised from HKD1.85 to HKD3, with an Outperform rating remaining in place.

Source: AAStocks Financial News

http://www.aastocks.com/en/stocks/analy ... stock-news
It's all about "how much you made when you were right" & "how little you lost when you were wrong"
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Re: Sensetime 0020

Postby winston » Wed Mar 25, 2026 7:59 am

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SenseTime net loss narrows 59pc to 1.77b yuan

Its total revenue increased 32.9 percent to 5.01 billion yuan, being the fastest growth in three years, which was primarily driven by continued expansion of Generative AI.

Its adjusted net loss narrowed by 54.3 percent to 1.96 billion yuan. 

Its Generative AI revenue increased by 51.0 percent to 3.63 billion last year, fueling by exponentially growing demand for generative AI model training, fine-tuning, and inference. 


Source: The Standard

https://www.thestandard.com.hk/finance/article/327587/
It's all about "how much you made when you were right" & "how little you lost when you were wrong"
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