VisionSys AI (VSA) Price to Earnings (2014 - 2023)
VisionSys AI's Price to Earnings came in at 0.75 for FY2025.
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Analysis
VisionSys AI (VSA) Price to Earnings (2014 - 2023) Analysis & Trends
Going back to FY2015, VisionSys AI's Price to Earnings data covers 5 years.
- The FY2025 figure represents the lowest annual Price to Earnings in data going back to FY2015.
- Per Business Quant, earlier years put Price to Earnings at 721.58 in FY2023 (+252.0%) and 205.02 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | VisionSys AI | 16.82 Mn | -9.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 721.58 |
| Mar 31, 2023 | 1,479.23 |
| Dec 31, 2022 | 197.70 |
| Mar 31, 2018 | 4,609.50 |
| Dec 31, 2017 | 661.64 |
| Sep 30, 2017 | 543.86 |
| Jun 30, 2017 | 603.01 |
| Mar 31, 2017 | 609.56 |
| Dec 31, 2016 | 491.54 |
| Sep 30, 2016 | 558.08 |
| Jun 30, 2016 | 451.30 |
| Mar 31, 2016 | 5.10 |
| Dec 31, 2015 | 35.88 |
| Sep 30, 2015 | 30.96 |
| Jun 30, 2015 | 41.71 |
| Dec 31, 2014 | 560.35 |
| Sep 30, 2014 | 688.53 |
| Jun 30, 2014 | 883.48 |
API Access
VisionSys AI Price to Earnings 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-earnings&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();