VisionSys AI (VSA) EBIT Margin (2013 - 2023)
VisionSys AI's EBIT Margin came in at 160527.30% for FY2025, up 160578.24 percentage points from -50.94% in FY2024.
Powered by 
Analysis
VisionSys AI (VSA) EBIT Margin (2013 - 2023) Analysis & Trends
Going back to FY2011, VisionSys AI's EBIT Margin data covers 15 years.
- EBIT Margin carries a five-year change of +160567.50 percentage points (FY2020 to FY2025).
- The FY2025 figure represents the highest annual EBIT Margin in data going back to FY2011.
- Per Business Quant, earlier years put EBIT Margin at -50.94% in FY2024 (-51.92 pp), 0.98% in FY2023 (-2.79 pp), 3.77% in FY2022 (+23.47 pp) and -19.70% in FY2021 (+20.50 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 27.75% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.37% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.22% |
| 10 | VisionSys AI | 17.81 Mn | -8.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2023 | -7.06% |
| Jun 30, 2023 | -1.05% |
| Mar 31, 2023 | -15.33% |
| Dec 31, 2022 | -0.83% |
| Sep 30, 2022 | 3.39% |
| Jun 30, 2022 | 7.46% |
| Mar 31, 2022 | 4.59% |
| Dec 31, 2021 | -9.21% |
| Sep 30, 2021 | -14.39% |
| Jun 30, 2021 | -15.58% |
| Mar 31, 2021 | -24.25% |
| Dec 31, 2020 | -13.09% |
| Sep 30, 2020 | -9.21% |
| Jun 30, 2020 | -88.86% |
| Mar 31, 2020 | -125.36% |
| Dec 31, 2019 | -65.13% |
| Sep 30, 2019 | -18.11% |
| Dec 31, 2018 | -31.81% |
| Sep 30, 2018 | -8.67% |
| Jun 30, 2018 | -29.86% |
API Access
VisionSys AI EBIT Margin 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=ebit-margin&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-margin", "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=ebit-margin&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();