VisionSys AI (VSA) Price to Sales (2014 - 2023)
VisionSys AI's (VSA) Price to Sales was 1241.20 for FY2025, compared with 3.72 in FY2024.
Analysis
VisionSys AI (VSA) Price to Sales (2014 - 2023) Analysis & Trends
Dating back to FY2014, VisionSys AI's Price to Sales record includes 12 years.
- The FY2025 figure ranks as the highest annual Price to Sales in data going back to FY2014.
- According to Business Quant data, Price to Sales came in at 3.72 in FY2024 (-20.5%), 4.69 in FY2023 (-33.2%), 7.02 in FY2022 (+137.3%) and 2.96 in FY2021 (-89.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn |
| 10 | VisionSys AI | 17.12 Mn | -8.94 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2023 | 3.91 |
| Jun 30, 2023 | 4.29 |
| Mar 31, 2023 | 5.44 |
| Dec 31, 2022 | 6.84 |
| Sep 30, 2022 | 9.49 |
| Jun 30, 2022 | 9.13 |
| Mar 31, 2022 | 3.84 |
| Dec 31, 2021 | 2.99 |
| Sep 30, 2021 | 10.45 |
| Jun 30, 2021 | 21.52 |
| Mar 31, 2021 | 27.53 |
| Dec 31, 2020 | 30.42 |
| Sep 30, 2020 | 18.96 |
| Jun 30, 2020 | 16.36 |
| Mar 31, 2020 | 34.69 |
| Dec 31, 2019 | 14.75 |
| Sep 30, 2019 | 7.15 |
| Dec 31, 2018 | 49.61 |
| Sep 30, 2018 | 29.15 |
| Jun 30, 2018 | 28.66 |
API Access
VisionSys AI Price to Sales 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=price-to-sales&ticker=VSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();