Applied Energetics (AERG) Operating Leases (2021 - 2026)
Applied Energetics (AERG) posted Operating Leases of $485,431 for Q2 2026, down 42.0% from $836,999 a year earlier and down 15.8% from the prior quarter.
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Analysis
Applied Energetics (AERG) Operating Leases (2021 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Operating Leases came in at $664,542, down 29.7% from FY2024.
- Annual Operating Leases shows a four-year compound annual growth rate of 7.0% (FY2021 to FY2025).
- In prior years, Applied Energetics' Operating Leases was $945,704 in FY2024 (-4.9%), $994,491 in FY2023 (+152.6%), $393,709 in FY2022 (-22.4%) and $507,188 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q1 2023.
- On a year-over-year basis, Operating Leases has declined in each of the last eight quarters, with an average decline of 18.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q1 2024, with growth of 161.9%; the weakest was Q2 2026, with a decline of 42.0%.
- According to Business Quant data, Operating Leases for the three prior quarters was $576,405 (Q1 2026), $664,542 (Q4 2025) and $822,235 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 485,431.00 |
| Mar 31, 2026 | 576,405.00 |
| Dec 31, 2025 | 664,542.00 |
| Sep 30, 2025 | 822,235.00 |
| Jun 30, 2025 | 836,999.00 |
| Mar 31, 2025 | 871,299.00 |
| Dec 31, 2024 | 945,704.00 |
| Sep 30, 2024 | 1.02 Mn |
| Jun 30, 2024 | 894,264.00 |
| Mar 31, 2024 | 946,866.00 |
| Dec 31, 2023 | 994,491.00 |
| Sep 30, 2023 | 1.04 Mn |
| Jun 30, 2023 | 694,207.00 |
| Mar 31, 2023 | 361,562.00 |
| Dec 31, 2022 | 393,709.00 |
| Sep 30, 2022 | 425,339.00 |
| Jun 30, 2022 | 456,461.00 |
| Mar 31, 2022 | 484,556.00 |
| Dec 31, 2021 | 507,188.00 |
| Sep 30, 2021 | 529,456.00 |
API Access
Applied Energetics Operating Leases 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=operating-leases&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "AERG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-leases&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();