AgEagle Aerial Systems (UAVS) Finished Goods (2017 - 2025)
AgEagle Aerial Systems (UAVS) posted Finished Goods of $1.52 million for Q4 2025, down 0.3% from $1.53 million a year earlier.
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Analysis
AgEagle Aerial Systems (UAVS) Finished Goods (2017 - 2025) Analysis & Trends
Since Q4 2017, AgEagle Aerial Systems has reported Finished Goods for 10 quarters.
- Annual Finished Goods shows a four-year compound annual growth rate of 16.3% (FY2021 to FY2025).
- In prior years, AgEagle Aerial Systems' Finished Goods was $1.53 million in FY2024, $614,400 in FY2022 (-26.3%) and $833,785 in FY2021.
- The Q4 2025 figure stands as the lowest quarterly Finished Goods since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.09 Bn | 278.09 Bn | 4.68 Bn |
| 2 | Rtx | 250.22 Bn | 223.44 Bn | 5.13 Bn |
| 3 | Boeing | 147.08 Bn | 53.78 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 117.51 Bn | 104.24 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 90.46 Bn | 86.07 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.77 Bn | 76.88 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 73.88 Bn | 70.24 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 68.68 Bn | 57.92 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.86 Bn | 19.30 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.62 Mn | -43.53 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.52 Mn |
| Dec 31, 2024 | 1.53 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 614,400.00 |
| Sep 30, 2022 | 1.89 Mn |
| Jun 30, 2022 | 3.00 Mn |
| Mar 31, 2022 | 1.10 Mn |
| Dec 31, 2021 | 833,785.00 |
| Mar 31, 2018 | 25,383.00 |
| Dec 31, 2017 | 32,581.00 |
API Access
AgEagle Aerial Systems Finished Goods 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=finished-goods&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();