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.
Powered by 
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 | 334.86 Bn | 293.38 Bn | 5.02 Bn | 85.67 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.30 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 41.47 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 33.51 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 33.33 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 14.43 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 9.16 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 35.52 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 38.78 Bn |
| 10 | Applied Energetics | 195.41 Mn | 182.39 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();