AgEagle Aerial Systems (UAVS) Work In Process (2017 - 2025)
AgEagle Aerial Systems' Work In Process was $820,398 in Q4 2025, down 10.1% from $912,397 a year earlier.
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Analysis
AgEagle Aerial Systems (UAVS) Work In Process (2017 - 2025) Analysis & Trends
From Q4 2017 onward, AgEagle Aerial Systems has reported Work In Process for 11 quarters.
- Work In Process shows a five-year compound annual growth rate of 74.7% (FY2020 to FY2025).
- In earlier years, Work In Process was $912,397 in FY2024, $1.11 million in FY2022 (+70.7%) and $647,829 in FY2021.
- The Q4 2025 figure marks the lowest quarterly Work In Process since Q2 2022.
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 | 820,398.00 |
| Dec 31, 2024 | 912,397.00 |
| Mar 31, 2023 | 898,614.00 |
| Dec 31, 2022 | 1.11 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 466,994.00 |
| Mar 31, 2022 | 805,861.00 |
| Dec 31, 2021 | 647,829.00 |
| Dec 31, 2020 | 50,447.00 |
| Mar 31, 2018 | 33,053.00 |
| Dec 31, 2017 | 34,850.00 |
API Access
AgEagle Aerial Systems Work In Process 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=work-in-process&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();