VisionSys AI (VSA) Receivables (2013 - 2023)
VisionSys AI's Receivables was $3.67 million in Q2 2023, down 64.6% from $10.37 million a year earlier and down 58.2% from the prior quarter.
Powered by 
Analysis
VisionSys AI (VSA) Receivables (2013 - 2023) Analysis & Trends
At the end of FY2022, Receivables at VisionSys AI came in at $10.07 million, up 30.1% from FY2021.
- Receivables shows a five-year compound annual growth rate of 3.9% (FY2017 to FY2022).
- In earlier years, Receivables was $7.74 million in FY2021 (+60.3%), $4.83 million in FY2020 (-29.9%), $6.89 million in FY2019 (-8.6%) and $7.53 million in FY2018 (-9.3%).
- The Q2 2023 figure marks the lowest quarterly Receivables since Q3 2020.
- Compared with a year earlier, Receivables was higher in six of the last eight quarters, with growth averaging 54.8%.
- The best year-over-year quarter for Receivables over five years was Q3 2021 (growth of 265.4%); the worst was Q2 2019 (a decline of 82.6%).
- Per Business Quant data, VSA's Receivables in the three quarters before Q2 2023 was $8.76 million (Q1 2023), $9.67 million (Q4 2022) and $10.54 million (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | VisionSys AI | 17.81 Mn | -8.26 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 3.67 Mn |
| Mar 31, 2023 | 8.76 Mn |
| Dec 31, 2022 | 9.67 Mn |
| Sep 30, 2022 | 10.54 Mn |
| Jun 30, 2022 | 10.37 Mn |
| Mar 31, 2022 | 9.04 Mn |
| Dec 31, 2021 | 7.48 Mn |
| Sep 30, 2021 | 7.74 Mn |
| Jun 30, 2021 | 6.91 Mn |
| Mar 31, 2021 | 5.13 Mn |
| Dec 31, 2020 | 5.02 Mn |
| Sep 30, 2020 | 2.12 Mn |
| Jun 30, 2020 | 3.08 Mn |
| Dec 31, 2019 | 6.90 Mn |
| Jun 30, 2019 | 6.27 Mn |
| Dec 31, 2018 | 7.10 Mn |
| Sep 30, 2018 | 35.92 Mn |
| Jun 30, 2018 | 35.92 Mn |
| Mar 31, 2018 | 38.56 Mn |
| Dec 31, 2017 | 8.48 Mn |
API Access
VisionSys AI Receivables 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=receivables&ticker=VSA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();