VisionSys AI (VSA) Operating Expenses (2013 - 2023)
VisionSys AI's Operating Expenses was -$5.6 million in FY2025, compared with -$4.66 million in FY2024.
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Analysis
VisionSys AI (VSA) Operating Expenses (2013 - 2023) Analysis & Trends
From FY2011 onward, VisionSys AI has reported Operating Expenses for 15 years.
- Annual Operating Expenses has moved between -$106.09 million (FY2021) and -$4.66 million (FY2024) over five years.
- Per Business Quant data, Operating Expenses in earlier years was -$4.66 million in FY2024, -$48.24 million in FY2023, -$98.02 million in FY2022 and -$106.09 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | VisionSys AI | 17.81 Mn | -8.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -6.66 Mn |
| Aug 29, 2023 | -38.78 Mn |
| Jun 30, 2023 | 18.55 Mn |
| Mar 31, 2023 | -21.44 Mn |
| Dec 31, 2022 | -26.34 Mn |
| Sep 30, 2022 | -24.10 Mn |
| Jun 30, 2022 | 25.62 Mn |
| Mar 31, 2022 | -24.91 Mn |
| Dec 31, 2021 | -26.07 Mn |
| Sep 30, 2021 | -27.64 Mn |
| Jun 30, 2021 | -25.75 Mn |
| Mar 31, 2021 | -25.28 Mn |
| Dec 31, 2020 | -33.80 Mn |
| Sep 30, 2020 | -24.18 Mn |
| Jun 30, 2020 | -25.86 Mn |
| Mar 31, 2020 | -22.91 Mn |
| Dec 31, 2019 | -32.08 Mn |
| Sep 30, 2019 | -31.56 Mn |
| Dec 31, 2018 | -33.95 Mn |
| Sep 30, 2018 | -30.34 Mn |
API Access
VisionSys AI Operating Expenses 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=operating-expenses&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();