AgEagle Aerial Systems (UAVS) Short term Debt (2010 - 2026)
AgEagle Aerial Systems' Short term Debt came in at $101,989 for Q2 2026, down 34.3% from the prior quarter.
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Analysis
AgEagle Aerial Systems (UAVS) Short term Debt (2010 - 2026) Analysis & Trends
At the end of FY2024, AgEagle Aerial Systems' Short term Debt was $1.33 million, down 70.4% from FY2023.
- Going back by year, Short term Debt was $4.5 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Short term Debt since Q4 2014.
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 |
|---|---|
| Jun 30, 2026 | 101,989.00 |
| Mar 31, 2026 | 155,193.00 |
| Mar 31, 2025 | 563,333.00 |
| Dec 31, 2024 | 1.33 Mn |
| Sep 30, 2024 | 4.85 Mn |
| Jun 30, 2024 | 4.26 Mn |
| Mar 31, 2024 | 4.75 Mn |
| Dec 31, 2023 | 4.50 Mn |
| Sep 30, 2017 | 4.50 Mn |
| Jun 30, 2017 | 4.61 Mn |
| Mar 31, 2017 | 17.93 Mn |
| Dec 31, 2016 | 17.93 Mn |
| Sep 30, 2016 | 17.93 Mn |
| Jun 30, 2016 | 18.00 Mn |
| Mar 31, 2016 | 18.20 Mn |
| Dec 31, 2015 | 1.99 Mn |
| Sep 30, 2015 | 600,000.00 |
| Jun 30, 2015 | 1.38 Mn |
| Dec 31, 2014 | 35,595.00 |
| Mar 31, 2012 | 7,000.00 |
API Access
AgEagle Aerial Systems Short term Debt 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=short-term-debt&ticker=UAVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=UAVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();