VisionSys AI (VSA) Notes Payables (2018 - 2025)
VisionSys AI's Notes Payables was $2 million in Q2 2025, up 31.8% from $1.51 million a year earlier.
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Analysis
VisionSys AI (VSA) Notes Payables (2018 - 2025) Analysis & Trends
At the end of FY2024, Notes Payables at VisionSys AI came in at $3.6 million.
- Notes Payables shows a five-year compound annual growth rate of -22.4% (FY2019 to FY2024).
- In earlier years, Notes Payables was $7.54 million in FY2022 (+60.1%), $4.71 million in FY2021 (+186.9%) and $1.64 million in FY2020 (-87.2%).
- Quarterly Notes Payables has moved between $1.51 million (Q2 2024) and $14.67 million (Q3 2020) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | VisionSys AI | 17.81 Mn | -8.26 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 2.00 Mn |
| Dec 31, 2024 | 3.66 Mn |
| Jun 30, 2024 | 1.51 Mn |
| Mar 31, 2023 | 7.28 Mn |
| Dec 31, 2022 | 4.22 Mn |
| Sep 30, 2022 | 2.32 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 5.05 Mn |
| Dec 31, 2021 | 4.69 Mn |
| Sep 30, 2021 | 2.41 Mn |
| Dec 31, 2020 | 1.62 Mn |
| Sep 30, 2020 | 14.67 Mn |
| Jun 30, 2020 | 14.11 Mn |
| Dec 31, 2019 | 12.65 Mn |
| Dec 31, 2018 | 1.99 Mn |
API Access
VisionSys AI Notes Payables 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=notes-payables&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();