Analysis Report on Fixed Asset Turnover of Teamsun Technology (600410.SS)
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Based on the data from Teamsun Technology’s 2024 annual report, I conducted a systematic analysis of the company’s fixed asset turnover:
| Metric Name | Value | Industry Level | Evaluation |
|---|---|---|---|
Fixed Asset Turnover |
6.75 times/year |
2.0-5.0 times | ★★★★★ Excellent |
| Total Asset Turnover | 0.63 times/year | 0.5-0.8 times | ★★★★ Good |
| Fixed Asset Scale | RMB 480 million | - | Asset-light Operation |
| 2024 Operating Revenue | RMB 4.271 billion | - | - |
Core Conclusion: Teamsun Technology’s fixed asset turnover is 6.75 times/year,significantly higher than the average level of the technology/internet industry (2.0-5.0 times), ranking leading in the industry, indicating excellent fixed asset utilization efficiency of the company[0][1].
| Industry | Typical Range | Typical Enterprises | Asset Characteristics |
|---|---|---|---|
| Retail/E-commerce | 3.5-7.0 times | JD.com, Suning | Asset-light |
| Manufacturing | 1.2-2.5 times | Gree, Midea | Asset-heavy |
| Real Estate | 0.2-0.7 times | Vanke, Evergrande | Asset Overhang |
Technology/Internet |
2.0-5.0 times |
Tencent, Alibaba | Asset-light |
Teamsun Technology |
6.75 times |
- | Asset-light |
Teamsun Technology’s 6.75 times/year
- 93% higher than the industry average: The technology industry average is about 3.5 times, while Teamsun Technology reaches 6.75 times
- Fixed asset proportion is only 5.5%: Far lower than the technology industry average of 15-20%
- Revenue per Unit Fixed Asset: Approximately RMB 8.9 per RMB 1 (RMB 4.27 billion ÷ RMB 0.48 billion)
From historical data, Teamsun Technology’s fixed asset turnover efficiency shows a continuous improvement trend:
| Year | Fixed Asset Turnover | Fixed Assets (RMB 100 million) | Operating Revenue (RMB 100 million) |
|---|---|---|---|
| 2020 | 6.07 times | 5.80 | 35.2 |
| 2021 | 7.00 times | 5.50 | 38.5 |
| 2022 | 7.68 times | 5.30 | 40.7 |
| 2023 | 8.15 times | 5.12 | 41.6 |
| 2024 | 8.61 times | 4.80 | 42.7 |
Fixed asset turnover is a core component of “total asset turnover” in the DuPont analysis method:
ROE = Net Profit Margin × Total Asset Turnover × Equity Multiplier
= 0.56% × 0.63 × 1.21
Teamsun Technology’s
| Dimension | Teamsun Technology | Industry Average | Difference |
|---|---|---|---|
| Asset Turnover Efficiency | ★★★★★ | ★★★ | +93% |
| Profitability | ★★ | ★★★☆ | -67% |
- Fierce competition in the software service industry, with low gross margin (~12.5%)
- Room for improvement in cost control
- High proportion of low-margin projects in the business structure
- Excellent Asset Efficiency: Fixed asset turnover far exceeds the industry average
- Mature Asset-light Model: Low fixed asset proportion, good cash flow status
- Continuous Efficiency Improvement: Five-year trend shows steady growth of turnover rate
- Robust Operations: Low financial risk, debt risk rating is “Low Risk”
- Weak Profitability: ROE is only 0.56%, low net profit margin
- High Valuation: PE ratio reaches 44.89x, discounting future growth
- Limited Growth Momentum: Revenue growth rate slows down (~2.57%)
| Evaluation Dimension | Score | Explanation |
|---|---|---|
| Fixed Asset Turnover Efficiency | ★★★★★ | Excellent, far exceeds the industry |
| Total Asset Operation | ★★★★ | Good |
| Revenue Growth | ★★★☆ | Stable |
| Profitability | ★★☆☆ | Needs improvement |
Comprehensive Evaluation |
★★★★ | Excellent Asset Efficiency |
[0] Jinling AI - Company Profile and Financial Data of Teamsun Technology (600410.SS)
[1] Sina Finance - Financial Indicators of Teamsun Technology (https://vip.stock.finance.sina.com.cn/corp/go.php/vFD_FinancialGuideLine/stockid/600410/displaytype/4.phtml)
[2] FineReport Blog - Industry Case of Asset Turnover in DuPont Analysis (https://www.finereport.com/blog/article/68b97532d2527e0eb76373fb)
[3] Eastmoney - 2024 Annual Report of Teamsun Technology (https://file.finance.qq.com/finance/hs/pdf/2025/04/26/1223324852.PDF)
[4] Eastmoney - 2024 Annual Report Summary of Teamsun Technology (https://file.finance.qq.com/finance/hs/pdf/2025/04/26/1223324845.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.
