Applied Energetics (AERG) Total Non-Current Liabilities (2011 - 2026)
Applied Energetics (AERG) posted Total Non-Current Liabilities 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) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Total Non-Current Liabilities came in at $664,542, down 29.7% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In prior years, Applied Energetics' Total Non-Current Liabilities was $945,704 in FY2024 (-4.9%), $994,491 in FY2023 (+152.6%), $393,709 in FY2022 (-22.4%) and $507,188 in FY2021 (-55.3%).
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last three quarters, with growth averaging 18.5% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 275.3%; the weakest was Q3 2022, with a decline of 58.7%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $576,405 (Q1 2026), $664,542 (Q4 2025) and $3.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 96.00 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 86.00 Mn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 157.29 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 48.28 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 14.57 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 6.90 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 14.44 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 30.72 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 52.22 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 485,431.00 |
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 | 3.82 Mn |
| 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 | 1.03 Mn |
API Access
Applied Energetics Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();