AgEagle Aerial Systems (UAVS) Total Current Liabilities (2010 - 2026)
AgEagle Aerial Systems' Total Current Liabilities was $4.37 million in Q2 2026, down 12.4% from $4.99 million a year earlier and down 0.1% from the prior quarter.
AgEagle Aerial Systems (UAVS) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at AgEagle Aerial Systems came in at $4.99 million, down 36.7% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 18.0% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $7.89 million in FY2024 (-28.5%), $11.03 million in FY2023 (+104.9%), $5.38 million in FY2022 (-68.6%) and $17.15 million in FY2021 (+685.8%).
- The Q2 2026 figure marks the lowest quarterly Total Current Liabilities since Q4 2020.
- Compared with a year earlier, Total Current Liabilities has declined for seven straight quarters, with an average decline of 25.7% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was Q4 2021 (growth of 685.8%); the worst was Q4 2022 (a decline of 68.6%).
- Per Business Quant data, UAVS's Total Current Liabilities in the three quarters before Q2 2026 was $4.38 million (Q1 2026), $4.99 million (Q4 2025) and $4.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn | 40.43 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn | 63.25 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn | 109.56 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn | 23.81 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn | 2.31 Bn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn | 18.77 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn | 5.58 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn | 13.35 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn | 23.19 Bn |
| 10 | AgEagle Aerial Systems | 60.24 Mn | -42.91 Mn | 1.36 Mn | 4.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.37 Mn |
| Mar 31, 2026 | 4.38 Mn |
| Dec 31, 2025 | 4.99 Mn |
| Sep 30, 2025 | 4.46 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 5.60 Mn |
| Dec 31, 2024 | 7.89 Mn |
| Sep 30, 2024 | 13.36 Mn |
| Jun 30, 2024 | 12.16 Mn |
| Mar 31, 2024 | 11.30 Mn |
| Dec 31, 2023 | 11.03 Mn |
| Sep 30, 2023 | 7.88 Mn |
| Jun 30, 2023 | 6.37 Mn |
| Mar 31, 2023 | 5.23 Mn |
| Dec 31, 2022 | 5.38 Mn |
| Sep 30, 2022 | 5.77 Mn |
| Jun 30, 2022 | 16.45 Mn |
| Mar 31, 2022 | 16.12 Mn |
| Dec 31, 2021 | 17.15 Mn |
| Sep 30, 2021 | 7.06 Mn |
AgEagle Aerial Systems Total Current 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-current-liabilities&ticker=UAVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();