Analysis of R&D Investment and Patent Technology Conversion Efficiency of IntSig Information
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Based on publicly disclosed information, IntSig Information (stock code: 688615) has an R&D expenditure ratio close to 30%, and its patent technology conversion efficiency is outstanding. The detailed analysis is as follows:
| Year | R&D Expenditure (10,000 yuan) | Operating Revenue (10,000 yuan) | R&D Expenditure Ratio |
|---|---|---|---|
| 2020 | 22,218 | 58,100 | 38.24% |
| 2021 | 28,343 | 76,800 | 36.90% |
| 2022 | 34,067 | 98,800 | 34.48% |
| 2023 | 37,890 | 118,700 | 31.92% |
| 2024 | 39,047 | 143,800 | 27.15% [1] |
Data shows that IntSig’s R&D expenditure increased from 222 million yuan in 2020 to 390 million yuan in 2024, with a compound annual growth rate (CAGR) of 15.1%. Although the R&D expenditure ratio decreased from 38.24% in 2020 to 27.15% in 2024, this decline is mainly due to faster revenue growth (CAGR of 25.4%), reflecting economies of scale [1].
- As of December 2024, the company has obtained 128 invention patent authorizations(88 in China, 40 overseas) [2]
- By June 2019, it had applied for 273 invention patents, with a patent authorization conversion rate of approximately 38%
- The leaders of the core technology team have a considerable number of personal invention patents: Long Teng (51), Ding Kai (8), Guo Fengjun (11), Chen Qingshan (27) [3]
| Conversion Efficiency Indicator | Specific Performance |
|---|---|
Revenue Ratio of Core Technology Products |
CamScanner accounts for 68.47% of revenue, with a gross profit margin of 86.6% [1] |
Commercialization Capability |
Forms a closed loop of ‘product-payment-cash flow’; the C-end subscription model is mature [1] |
Technology Recognition |
TextIn was recognized through Shanghai’s first batch of high-tech achievement conversion project certification [2] |
International Competitiveness |
Won 16 championships in top international AI competitions such as ICDAR and ICPR [2] |
Technology Leadership |
The acge text vectorization model ranked first in the Chinese semantic vector evaluation benchmark ‘C-MTEB’ list [2] |
Industry Standard Formulation |
Participated in the formulation of the group standard ‘Technical Requirements for Text Image Tampering Detection Systems’ [2] |
IntSig has established an efficient patent technology conversion system:
- Technology R&D → Productization: Core technologies such as OCR and deep learning algorithms are quickly applied to products like CamScanner, Business Card Reader, and Qixinbao
- Product → Revenue Conversion: The high-margin subscription model ensures that technology investment can be effectively converted into cash flow; the net cash flow from operating activities in the first three quarters of 2025 was 371 million yuan, a year-on-year increase of 27.84% [1]
- Domestic → International Expansion: Approximately one-third of revenue comes from international markets (2024 overseas revenue was 466 million yuan, accounting for 32.37%) [1]
- High R&D Output Ratio: A 27% R&D expenditure ratio creates core products accounting for 68.47% of revenue, with high technology commercialization efficiency
- Stable Technical Barriers: 128 invention patents cover core technology fields such as text recognition, image processing, and natural language processing
- High International Recognition: 40 international invention patents and 16 international competition championships prove the global competitiveness of its technology
- Mature Commercial Closed Loop: The subscription model ensures continuous returns from technology investment; 2024 net profit attributable to the parent company was 401 million yuan, a year-on-year increase of 23.9% [1]
- Continuous decline in R&D expenditure ratio may affect long-term technological leadership
- High cost of overseas intellectual property layout [4]
- AI technology iterates rapidly; continuous high-intensity R&D investment is required
Overall, IntSig performs excellently in patent technology conversion, establishing an efficient path from technology R&D to commercialization, reflecting a virtuous cycle model where ‘certain commercialization’ feeds back into ‘continuous technological iteration’.
[1] Gelonghui - ‘IntSig Information was awarded the Annual Excellent AI Application Enterprise, Steady Growth under High Gross Profit Margin Model’ (https://www.gelonghui.com/p/3464776)
[2] Shanghai IntSig Information Technology Co., Ltd. 2024 Annual Report Summary (http://static.cninfo.com.cn/finalpage/2025-04-16/1223103967.PDF)
[3] China International Capital Corporation Limited on the Listing Sponsorship Letter for the Initial Public Offering of Shanghai IntSig Information Technology Co., Ltd. (http://file.finance.sina.com.cn/211.154.219.97:9494/MRGG/CNSESH_STOCK/2023/2023-7/2023-07-28/9376143.PDF)
[4] Hurun Report - Interview on ‘IP Fuels the New Era of AI’ (https://res.hurun.cn/file/20210304/20210304134414713.pdf)
Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.
About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.
