Beijing StarNeto Technology Co Ltd (002829) - Cash Flow Conversion Efficiency
Based on the latest financial reports, Beijing StarNeto Technology Co Ltd (002829) has a cash flow conversion efficiency ratio of -0.003x as of September 2025. Cash flow conversion efficiency measures how effectively a company's net assets (equity) generate operating cash flow. It is calculated by dividing operating cash flow (CN¥-5.36 Million ≈ $-784.77K USD) by net assets (CN¥1.83 Billion ≈ $268.33 Million USD). A higher ratio indicates that the company is more efficient at using its equity to generate cash flow from its core operations. Also see 002829 market cap for the company's overall valuation and market capitalisation.
Beijing StarNeto Technology Co Ltd - Cash Flow Conversion Efficiency Trend (2011–2025)
This chart illustrates how Beijing StarNeto Technology Co Ltd's cash flow conversion efficiency has evolved over time, based on yearly financial data.
Beijing StarNeto Technology Co Ltd Competitors by Cash Flow Conversion Efficiency
The table below lists competitors of Beijing StarNeto Technology Co Ltd ranked by their cash flow conversion efficiency. Explore 002829 cash flow quality score to measure how well operating cash flow supports reported net income.
| Company | Cash Flow Conversion Efficiency |
|---|---|
|
Ridgepost Capital, Inc
NYSE:RPC
|
0.042x |
|
Shenzhen Guangju Energy Co Ltd
SHE:000096
|
0.003x |
|
CSB Bank Limited
NSE:CSBBANK
|
-0.234x |
|
BCPG Public Company Limited
BK:BCPG
|
0.032x |
|
Just Dial Limited
NSE:JUSTDIAL
|
0.023x |
|
Shanghai Baosight Software Co Ltd B
SHG:900926
|
0.054x |
|
Start Group
SHG:600734
|
-0.075x |
|
Shakti Pumps (India) Limited
NSE:SHAKTIPUMP
|
-0.294x |
Annual Cash Flow Conversion Efficiency for Beijing StarNeto Technology Co Ltd (2011–2025)
The table below shows the annual cash flow conversion efficiency of Beijing StarNeto Technology Co Ltd from 2011 to 2025. View 002829 stock price and chart for real-time trading data and today's change.
| Year | Net Assets | Operating Cash Flow | Cash Flow Conversion Efficiency | Change |
|---|---|---|---|---|
| 2025-12-31 | CN¥1.69 Billion ≈ $246.73 Million |
CN¥-93.43 Million ≈ $-13.67 Million |
-0.055x | +0.30% |
| 2024-12-31 | CN¥1.83 Billion ≈ $267.36 Million |
CN¥-101.55 Million ≈ $-14.86 Million |
-0.056x | -474.98% |
| 2023-12-31 | CN¥2.07 Billion ≈ $303.39 Million |
CN¥-20.04 Million ≈ $-2.93 Million |
-0.010x | +63.58% |
| 2022-12-31 | CN¥1.47 Billion ≈ $214.70 Million |
CN¥-38.94 Million ≈ $-5.70 Million |
-0.027x | -174.27% |
| 2021-12-31 | CN¥1.20 Billion ≈ $174.88 Million |
CN¥42.70 Million ≈ $6.25 Million |
0.036x | -78.67% |
| 2020-12-31 | CN¥1.15 Billion ≈ $168.95 Million |
CN¥193.38 Million ≈ $28.30 Million |
0.167x | +514.49% |
| 2019-12-31 | CN¥968.24 Million ≈ $141.68 Million |
CN¥26.39 Million ≈ $3.86 Million |
0.027x | +152.44% |
| 2018-12-31 | CN¥978.34 Million ≈ $143.16 Million |
CN¥-50.85 Million ≈ $-7.44 Million |
-0.052x | +15.92% |
| 2017-12-31 | CN¥895.65 Million ≈ $131.06 Million |
CN¥-55.37 Million ≈ $-8.10 Million |
-0.062x | -155.21% |
| 2016-12-31 | CN¥709.06 Million ≈ $103.76 Million |
CN¥79.40 Million ≈ $11.62 Million |
0.112x | +900.38% |
| 2015-12-31 | CN¥327.21 Million ≈ $47.88 Million |
CN¥3.66 Million ≈ $535.97K |
0.011x | -96.29% |
| 2014-12-31 | CN¥276.44 Million ≈ $40.45 Million |
CN¥83.38 Million ≈ $12.20 Million |
0.302x | -7.08% |
| 2013-12-31 | CN¥218.45 Million ≈ $31.97 Million |
CN¥70.91 Million ≈ $10.38 Million |
0.325x | +23.57% |
| 2012-12-31 | CN¥138.36 Million ≈ $20.25 Million |
CN¥36.35 Million ≈ $5.32 Million |
0.263x | +664.96% |
| 2011-12-31 | CN¥99.36 Million ≈ $14.54 Million |
CN¥3.41 Million ≈ $499.29K |
0.034x | -- |
About Beijing StarNeto Technology Co Ltd
Beijing StarNeto Technology Co., Ltd. engages in the research, development, production, and sale of intelligent unmanned systems and components in China. The company operates in four segments: Inertial Integrated Navigation, Mobile Satellite Communication, Passive Electronic Countermeasures, and Intelligent Unmanned Systems. It offers unmanned systems, including drones, self-driving cars, and unm… Read more