AgEagle Aerial Systems (UAVS) Accumulated Expenses (2010 - 2026)
AgEagle Aerial Systems (UAVS) recorded Accumulated Expenses of $1.55 million in Q2 2026, down 40.9% from $2.63 million a year earlier and down 10.1% from the prior quarter.
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Analysis
AgEagle Aerial Systems (UAVS) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, AgEagle Aerial Systems reported Accumulated Expenses of $2.3 million, down 2.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $2.36 million in FY2024 (+21.4%), $1.94 million in FY2023 (+15.7%), $1.68 million in FY2022 (-11.6%) and $1.9 million in FY2021 (+3.1%).
- The Q2 2026 figure is the lowest quarterly Accumulated Expenses since Q1 2023.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with growth averaging 11.8% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 92.9% in Q2 2022, against a decline of 50.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.73 million (Q1 2026), $2.3 million (Q4 2025) and $2.65 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.20 Bn | 278.20 Bn | 4.68 Bn |
| 2 | Rtx | 249.38 Bn | 222.59 Bn | 5.13 Bn |
| 3 | Boeing | 152.06 Bn | 58.76 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.66 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.36 Bn | 86.97 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.03 Bn | 77.14 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.17 Bn | 70.53 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.46 Bn | 57.71 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.76 Bn | 20.21 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.00 Mn | -44.15 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.55 Mn |
| Mar 31, 2026 | 1.73 Mn |
| Dec 31, 2025 | 2.30 Mn |
| Sep 30, 2025 | 2.65 Mn |
| Jun 30, 2025 | 2.63 Mn |
| Mar 31, 2025 | 2.03 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 2.01 Mn |
| Jun 30, 2024 | 1.66 Mn |
| Mar 31, 2024 | 1.69 Mn |
| Dec 31, 2023 | 1.94 Mn |
| Sep 30, 2023 | 1.65 Mn |
| Jun 30, 2023 | 1.58 Mn |
| Mar 31, 2023 | 1.21 Mn |
| Dec 31, 2022 | 1.68 Mn |
| Sep 30, 2022 | 1.80 Mn |
| Jun 30, 2022 | 1.57 Mn |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 1.90 Mn |
| Sep 30, 2021 | 1.01 Mn |
API Access
AgEagle Aerial Systems 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=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();