AgEagle Aerial Systems (UAVS) Total Liabilities (2010 - 2026)
AgEagle Aerial Systems' Total Liabilities was $6.95 million in Q2 2026, up 0.7% from $6.9 million a year earlier but down 4.2% from the prior quarter.
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Analysis
AgEagle Aerial Systems (UAVS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at AgEagle Aerial Systems came in at $6.49 million, down 75.3% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 22.3% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $26.32 million in FY2024 (+82.1%), $14.46 million in FY2023 (+31.9%), $10.96 million in FY2022 (-61.0%) and $28.11 million in FY2021.
- Quarterly Total Liabilities has moved between $6.13 million (Q3 2025) and $28.11 million (Q4 2021) over five years.
- Compared with a year earlier, Total Liabilities was higher in four of the last eight quarters, with an average decline of 15.4%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2024 (growth of 82.1%); the worst was Q4 2025 (a decline of 75.3%).
- Per Business Quant data, UAVS's Total Liabilities in the three quarters before Q2 2026 was $7.26 million (Q1 2026), $6.49 million (Q4 2025) and $6.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 109.81 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 105.86 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 159.76 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 53.68 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 7.52 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 33.34 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 16.55 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 32.88 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 58.49 Bn |
| 10 | AgEagle Aerial Systems | 60.24 Mn | -42.91 Mn | 1.36 Mn | 6.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.95 Mn |
| Mar 31, 2026 | 7.26 Mn |
| Dec 31, 2025 | 6.49 Mn |
| Sep 30, 2025 | 6.13 Mn |
| Jun 30, 2025 | 6.90 Mn |
| Mar 31, 2025 | 16.05 Mn |
| Dec 31, 2024 | 26.32 Mn |
| Sep 30, 2024 | 15.80 Mn |
| Jun 30, 2024 | 14.76 Mn |
| Mar 31, 2024 | 14.17 Mn |
| Dec 31, 2023 | 14.46 Mn |
| Sep 30, 2023 | 12.61 Mn |
| Jun 30, 2023 | 10.53 Mn |
| Mar 31, 2023 | 10.02 Mn |
| Dec 31, 2022 | 10.96 Mn |
| Sep 30, 2022 | 7.07 Mn |
| Jun 30, 2022 | 21.93 Mn |
| Mar 31, 2022 | 21.93 Mn |
| Dec 31, 2021 | 28.11 Mn |
| Sep 30, 2021 | 14.46 Mn |
API Access
AgEagle Aerial Systems 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=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "UAVS", "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=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();