Volato (SOAR) Price to Sales (2023 - 2026)
Volato's Price to Sales came in at 0.06 for Q1 2026, down 80.2% from 0.32 a year earlier but up 76.9% from the prior quarter.
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Analysis
Volato (SOAR) Price to Sales (2023 - 2026) Analysis & Trends
For FY2025, Volato's Price to Sales was 0.04, down 98.1% from FY2024.
- Price to Sales has declined in each of the last three years.
- Going back by year, Price to Sales was 1.86 in FY2024 (-94.8%), 35.92 in FY2023 (-55.4%) and 80.55 in FY2022.
- The five-year range for quarterly Price to Sales is 0.03 (Q2 2025) to 24.57 (Q4 2023).
- Year-over-year, Price to Sales has declined for six consecutive quarters, with an average decline of 77.5% over the last six quarters.
- Business Quant data shows SOAR's Price to Sales at 0.04 (Q4 2025), 0.15 (Q3 2025) and 0.03 (Q2 2025) in the three quarters before Q1 2026.
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 | Volato | 10.09 Mn | 10.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.06 |
| Dec 31, 2025 | 0.04 |
| Sep 30, 2025 | 0.15 |
| Jun 30, 2025 | 0.03 |
| Mar 31, 2025 | 0.32 |
| Dec 31, 2024 | 1.86 |
| Sep 30, 2024 | 0.18 |
| Jun 30, 2024 | 0.65 |
| Mar 31, 2024 | 2.52 |
| Dec 31, 2023 | 24.57 |
API Access
Volato 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=SOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "ticker": "SOAR", "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=SOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();