AgEagle Aerial Systems (UAVS) Goodwill & Intangibles (2018 - 2026)
AgEagle Aerial Systems (UAVS) posted Goodwill & Intangibles of $80,666 for Q2 2026, down 98.7% from $6.08 million a year earlier but up 107.1% from the prior quarter.
AgEagle Aerial Systems (UAVS) Goodwill & Intangibles (2018 - 2026) Analysis & Trends
At the end of FY2025, AgEagle Aerial Systems' Goodwill & Intangibles came in at $56,850, down 99.1% from FY2024.
- Annual Goodwill & Intangibles has declined for four consecutive years, with a five-year compound annual growth rate of -56.3% (FY2020 to FY2025).
- In prior years, AgEagle Aerial Systems' Goodwill & Intangibles was $6.42 million in FY2024 (-36.0%), $10.02 million in FY2023 (-71.1%), $34.69 million in FY2022 (-55.8%) and $78.43 million in FY2021.
- Quarterly Goodwill & Intangibles has run from a low of $38,946 in Q1 2026 to a high of $135.46 million in Q3 2021 over five years.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 17 quarters, with an average decline of 64.2% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2022, with growth of 63.2%; the weakest was Q1 2026, with a decline of 99.4%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $38,946 (Q1 2026), $56,850 (Q4 2025) and $5.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | AgEagle Aerial Systems | 59.00 Mn | -44.15 Mn | 1.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80,666.00 |
| Mar 31, 2026 | 38,946.00 |
| Dec 31, 2025 | 56,850.00 |
| Sep 30, 2025 | 5.96 Mn |
| Jun 30, 2025 | 6.08 Mn |
| Mar 31, 2025 | 6.23 Mn |
| Dec 31, 2024 | 6.42 Mn |
| Sep 30, 2024 | 9.54 Mn |
| Jun 30, 2024 | 9.71 Mn |
| Mar 31, 2024 | 9.86 Mn |
| Dec 31, 2023 | 10.02 Mn |
| Sep 30, 2023 | 30.94 Mn |
| Jun 30, 2023 | 33.25 Mn |
| Mar 31, 2023 | 34.04 Mn |
| Dec 31, 2022 | 34.69 Mn |
| Sep 30, 2022 | 77.08 Mn |
| Jun 30, 2022 | 77.75 Mn |
| Mar 31, 2022 | 78.16 Mn |
| Dec 31, 2021 | 78.43 Mn |
| Sep 30, 2021 | 135.46 Mn |
AgEagle Aerial Systems Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=UAVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();