Soar Ai (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
Soar Ai (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 | 49.47 Bn | 21.72 Bn | 695.95 Mn |
| 3 | Trimble | 27.38 Bn | 26.46 Bn | 659.10 Mn |
| 4 | Samsara | 24.21 Bn | 20.98 Bn | 392.58 Mn |
| 5 | Ptc | 21.76 Bn | 21.76 Bn | 557.39 Mn |
| 6 | Toast | 20.03 Bn | 12.67 Bn | 543.00 Mn |
| 7 | Manhattan Associates | 14.95 Bn | 14.01 Bn | 174.30 Mn |
| 8 | Duolingo | 14.72 Bn | 9.64 Bn | 225.13 Mn |
| 9 | Bentley Systems | 13.66 Bn | 13.13 Bn | 349.55 Mn |
| 10 | Soar Ai | 6.61 Mn | -16.90 Mn | 673,000.00 |
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
Soar Ai 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();