Applied Energetics (AERG) Non-Current Assets (2010 - 2026)
Applied Energetics' Non-Current Assets came in at $1.86 million for Q2 2026, down 19.7% from $2.31 million a year earlier and down 6.1% from the prior quarter.
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Analysis
Applied Energetics (AERG) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Non-Current Assets was $2.1 million, up 49.0% from FY2024.
- Non-Current Assets carries a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $1.41 million in FY2024 (-6.7%), $1.51 million in FY2023 (+134.6%), $641,996 in FY2022 (-45.8%) and $1.19 million in FY2021 (-6.6%).
- The Q2 2026 figure represents the lowest quarterly Non-Current Assets since Q1 2025.
- Year-over-year, Non-Current Assets increased in five of the last eight quarters, with growth averaging 23.5%.
- The fastest year-over-year change in Non-Current Assets over five years came in Q4 2023 (growth of 134.6%), and the weakest in Q2 2022 (a decline of 55.4%).
- Business Quant data shows AERG's Non-Current Assets at $1.98 million (Q1 2026), $2.1 million (Q4 2025) and $2.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 87.98 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.25 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 41.24 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 34.05 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 33.13 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 9.06 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 13.11 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 35.17 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 49.27 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 1.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.98 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 2.31 Mn |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 1.41 Mn |
| Sep 30, 2024 | 1.48 Mn |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 1.41 Mn |
| Dec 31, 2023 | 1.51 Mn |
| Sep 30, 2023 | 1.40 Mn |
| Jun 30, 2023 | 928,073.00 |
| Mar 31, 2023 | 620,154.00 |
| Dec 31, 2022 | 641,996.00 |
| Sep 30, 2022 | 698,474.00 |
| Jun 30, 2022 | 712,294.00 |
| Mar 31, 2022 | 949,341.00 |
| Dec 31, 2021 | 1.19 Mn |
| Sep 30, 2021 | 1.42 Mn |
API Access
Applied Energetics Non-Current Assets 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=non-current-assets&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();