AgEagle Aerial Systems (UAVS) Raw Materials (2017 - 2025)
AgEagle Aerial Systems' Raw Materials came in at $3.79 million for Q4 2025, up 8.6% from $3.49 million a year earlier.
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Analysis
AgEagle Aerial Systems (UAVS) Raw Materials (2017 - 2025) Analysis & Trends
Going back to Q4 2017, AgEagle Aerial Systems' Raw Materials data covers 11 quarters.
- Raw Materials carries a five-year compound annual growth rate of 112.2% (FY2020 to FY2025).
- Going back by year, Raw Materials was $3.49 million in FY2024, $5.29 million in FY2022 (+84.8%) and $2.86 million in FY2021.
- The Q4 2025 figure represents the highest quarterly Raw Materials since Q1 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 330.21 Bn | 284.21 Bn | 4.68 Bn |
| 2 | Rtx | 252.88 Bn | 226.09 Bn | 5.13 Bn |
| 3 | Boeing | 145.76 Bn | 52.46 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 119.56 Bn | 106.28 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 91.38 Bn | 86.98 Bn | 951.00 Mn |
| 6 | General Dynamics | 90.40 Bn | 77.51 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.81 Bn | 71.18 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 71.85 Bn | 61.10 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.04 Bn | 19.48 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 60.24 Mn | -42.91 Mn | 1.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.79 Mn |
| Dec 31, 2024 | 3.49 Mn |
| Mar 31, 2023 | 4.46 Mn |
| Dec 31, 2022 | 5.29 Mn |
| Sep 30, 2022 | 3.10 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 3.81 Mn |
| Dec 31, 2021 | 2.86 Mn |
| Dec 31, 2020 | 88,091.00 |
| Mar 31, 2018 | 84,930.00 |
| Dec 31, 2017 | 91,201.00 |
API Access
AgEagle Aerial Systems Raw Materials 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=raw-materials&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();