Vynleads (VYND) Return on Sales [ROS] (2020 - 2023)
Vynleads' Return on Sales [ROS] came in at -514204.08% for Q1 2023, up 18959.18 percentage points from the prior quarter.
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Analysis
Vynleads (VYND) Return on Sales [ROS] (2020 - 2023) Analysis & Trends
For FY2022, Vynleads' Return on Sales [ROS] was -533159.18%, down 478040.80 percentage points from FY2021.
- Going back by year, Return on Sales [ROS] was -55118.39% in FY2021 (-54347.00 pp) and -771.39% in FY2020.
- The five-year range for quarterly Return on Sales [ROS] is -535628.57% (Q3 2022) to -292.55% (Q1 2020).
- Business Quant data shows VYND's Return on Sales [ROS] at -533163.27% (Q4 2022), -535628.57% (Q3 2022) and -112202.04% (Q2 2022) in the three quarters before Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 8.22% |
| 10 | Vynleads | 7.51 Mn | 7.41 Mn | -2,986.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | -514,204.08% |
| Dec 31, 2022 | -533,163.27% |
| Sep 30, 2022 | -535,628.57% |
| Jun 30, 2022 | -112,202.04% |
| Dec 31, 2021 | -55,118.39% |
| Sep 30, 2021 | -23,318.02% |
| Jun 30, 2021 | -33,067.98% |
| Mar 31, 2021 | -25,945.55% |
| Dec 31, 2020 | -12,761.30% |
| Sep 30, 2020 | -1,117.56% |
| Jun 30, 2020 | -712.01% |
| Mar 31, 2020 | -292.55% |
API Access
Vynleads Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VYND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "VYND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=VYND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();