Soar Ai (SOAR) Total Liabilities (2021 - 2026)
Volato's Total Liabilities came in at $8.35 million for Q1 2026, down 78.7% from $39.24 million a year earlier and down 39.5% from the prior quarter.
Analysis
Soar Ai (SOAR) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Volato's Total Liabilities was $13.8 million, down 78.0% from FY2024.
- Total Liabilities carries a four-year compound annual growth rate of -52.8% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $62.63 million in FY2024 (+10.0%), $56.96 million in FY2023 (+58.6%), $35.93 million in FY2022 (-87.0%) and $277.18 million in FY2021.
- The Q1 2026 figure represents the lowest quarterly Total Liabilities in data going back to Q4 2021.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 49.9% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2023 (growth of 58.6%), and the weakest in Q4 2022 (a decline of 87.0%).
- Business Quant data shows SOAR's Total Liabilities at $13.8 million (Q4 2025), $9.49 million (Q3 2025) and $20.11 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.37 Bn | 21.62 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 24.36 Bn | 21.13 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.47 Bn | 21.29 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 19.58 Bn | 12.22 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.60 Bn | 13.66 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 13.85 Bn | 13.33 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.59 Bn | 11.68 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.16 Bn | 7.54 Bn | 741.00 Mn | 2.27 Bn |
| 10 | Soar Ai | 7.00 Mn | 7.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.35 Mn |
| Dec 31, 2025 | 13.80 Mn |
| Sep 30, 2025 | 9.49 Mn |
| Jun 30, 2025 | 20.11 Mn |
| Mar 31, 2025 | 39.24 Mn |
| Dec 31, 2024 | 62.63 Mn |
| Sep 30, 2024 | 67.57 Mn |
| Jun 30, 2024 | 80.34 Mn |
| Mar 31, 2024 | 66.48 Mn |
| Dec 31, 2023 | 56.96 Mn |
| Sep 30, 2023 | 105.23 Mn |
| Jun 30, 2023 | 93.91 Mn |
| Mar 31, 2023 | 303.02 Mn |
| Dec 31, 2022 | 35.93 Mn |
| Sep 30, 2022 | 292.08 Mn |
| Jun 30, 2022 | 291.54 Mn |
| Mar 31, 2022 | 291.37 Mn |
| Dec 31, 2021 | 277.18 Mn |
API Access
Soar Ai Total Liabilities 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=total-liabilities&ticker=SOAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();