AgEagle Aerial Systems (UAVS) Operating Leases (2020 - 2026)
AgEagle Aerial Systems' Operating Leases came in at $2.16 million for Q2 2026, up 52.6% from $1.42 million a year earlier but down 12.0% from the prior quarter.
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Analysis
AgEagle Aerial Systems (UAVS) Operating Leases (2020 - 2026) Analysis & Trends
At the end of FY2025, AgEagle Aerial Systems' Operating Leases was $1.02 million, down 37.8% from FY2024.
- Operating Leases has declined in each of the last three years, though with a five-year compound annual growth rate of 43.0% (FY2020 to FY2025).
- Going back by year, Operating Leases was $1.65 million in FY2024 (-39.5%), $2.72 million in FY2023 (-13.9%), $3.16 million in FY2022 (+235.5%) and $942,404 in FY2021 (+449.6%).
- The five-year range for quarterly Operating Leases is $493,774 (Q3 2022) to $3.16 million (Q4 2022).
- Year-over-year, Operating Leases increased in two of the last eight quarters, with an average decline of 11.9%.
- The fastest year-over-year change in Operating Leases over five years came in Q3 2023 (growth of 458.2%), and the weakest in Q3 2025 (a decline of 39.8%).
- Business Quant data shows UAVS's Operating Leases at $2.46 million (Q1 2026), $1.02 million (Q4 2025) and $1.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 38.22 Mn | -64.93 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.16 Mn |
| Mar 31, 2026 | 2.46 Mn |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 1.21 Mn |
| Jun 30, 2025 | 1.42 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 1.65 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 2.12 Mn |
| Mar 31, 2024 | 2.34 Mn |
| Dec 31, 2023 | 2.72 Mn |
| Sep 30, 2023 | 2.76 Mn |
| Jun 30, 2023 | 2.84 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 3.16 Mn |
| Sep 30, 2022 | 493,774.00 |
| Jun 30, 2022 | 564,011.00 |
| Mar 31, 2022 | 693,138.00 |
| Dec 31, 2021 | 942,404.00 |
| Sep 30, 2021 | 767,491.00 |
API Access
AgEagle Aerial Systems Operating Leases 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=operating-leases&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();