VisionSys AI (VSA) Return on Capital Employed [ROCE] (2014 - 2018)
VisionSys AI's Return on Capital Employed [ROCE] came in at 1712.69% for FY2025.
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Analysis
VisionSys AI (VSA) Return on Capital Employed [ROCE] (2014 - 2018) Analysis & Trends
Going back to FY2014, VisionSys AI's Return on Capital Employed [ROCE] data covers 6 years.
- The FY2025 figure represents the highest annual Return on Capital Employed [ROCE] in data going back to FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 21.53% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 10.56% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 0.82% |
| 10 | VisionSys AI | 17.12 Mn | -8.94 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -84.98% |
| Sep 30, 2018 | -28.21% |
| Jun 30, 2018 | -14.23% |
| Mar 31, 2018 | 0.42% |
| Dec 31, 2017 | 12.42% |
| Sep 30, 2017 | 11.92% |
| Jun 30, 2017 | 13.39% |
| Mar 31, 2017 | 15.12% |
| Dec 31, 2016 | 15.48% |
| Sep 30, 2016 | 16.79% |
| Jun 30, 2016 | 15.64% |
| Mar 31, 2016 | 636.07% |
| Dec 31, 2015 | 606.84% |
| Sep 30, 2015 | 640.75% |
| Jun 30, 2015 | 677.78% |
| Mar 31, 2015 | 8.01% |
| Dec 31, 2014 | 68.91% |
| Sep 30, 2014 | 74.76% |
| Jun 30, 2014 | 116.38% |
| Mar 31, 2014 | 4,129.68% |
API Access
VisionSys AI Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "VSA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();