VisionSys AI (VSA) Asset Utilization Ratio (2014 - 2023)
VisionSys AI's Asset Utilization Ratio was 0.01 in FY2025, down 99.5% from 2.04 in FY2024.
Powered by 
Analysis
VisionSys AI (VSA) Asset Utilization Ratio (2014 - 2023) Analysis & Trends
From FY2014 onward, VisionSys AI has reported Asset Utilization Ratio for 12 years.
- The FY2025 figure marks the lowest annual Asset Utilization Ratio in data going back to FY2014.
- Per Business Quant data, Asset Utilization Ratio in earlier years was 2.04 in FY2024 (+77.7%), 1.15 in FY2023 (-27.5%), 1.58 in FY2022 (+18.1%) and 1.34 in FY2021 (+52.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 0.38 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.69 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 2.17 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 0.45 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 0.43 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.55 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 1.57 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.35 |
| 10 | VisionSys AI | 17.81 Mn | -8.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.70 |
| Mar 31, 2023 | 1.73 |
| Dec 31, 2022 | 1.93 |
| Sep 30, 2022 | 1.89 |
| Jun 30, 2022 | 1.71 |
| Mar 31, 2022 | 1.55 |
| Dec 31, 2021 | 1.37 |
| Sep 30, 2021 | 1.28 |
| Jun 30, 2021 | 1.26 |
| Mar 31, 2021 | 1.09 |
| Dec 31, 2020 | 0.93 |
| Sep 30, 2020 | 0.81 |
| Dec 31, 2018 | 1.14 |
| Sep 30, 2018 | 1.00 |
| Jun 30, 2018 | 0.89 |
| Mar 31, 2018 | 0.92 |
| Dec 31, 2017 | 0.92 |
| Sep 30, 2017 | 0.82 |
| Jun 30, 2017 | 0.78 |
| Mar 31, 2017 | 0.77 |
API Access
VisionSys AI Asset Utilization Ratio 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=asset-utilization-ratio&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();