Volato (SOAR) Accumulated Expenses (2021 - 2023)
Volato (SOAR) recorded Accumulated Expenses of $1.29 million in Q3 2023, up 455.6% from $231,548 a year earlier and up 260.1% from the prior quarter.
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Analysis
Volato (SOAR) Accumulated Expenses (2021 - 2023) Analysis & Trends
At the end of FY2022, Volato reported Accumulated Expenses of $132,417, down 17.0% from FY2021.
- Across earlier years, Accumulated Expenses came in at $159,622 in FY2021.
- The Q3 2023 figure is the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- On a year-over-year basis, Accumulated Expenses rose in two of the last four quarters, with growth averaging 111.4%.
- Per Business Quant, the preceding three quarters came in at $357,328 (Q2 2023), $79,391 (Q1 2023) and $132,417 (Q4 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | Volato | 11.84 Mn | 11.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1.29 Mn |
| Jun 30, 2023 | 357,328.00 |
| Mar 31, 2023 | 79,391.00 |
| Dec 31, 2022 | 132,417.00 |
| Sep 30, 2022 | 231,548.00 |
| Jun 30, 2022 | 215,575.00 |
| Mar 31, 2022 | 192,466.00 |
| Dec 31, 2021 | 159,622.00 |
API Access
Volato Accumulated Expenses 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=accumulated-expenses&ticker=SOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();