Applied Energetics (AERG) Assets (2010 - 2026)
Applied Energetics (AERG) reported Assets of $4.07 million for Q2 2026, up 15.2% from $3.53 million a year earlier but down 38.6% from the prior quarter.
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Analysis
Applied Energetics (AERG) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics posted Assets of $9.06 million, up 337.7% from FY2024.
- Assets has a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- By year, Assets came in at $2.07 million in FY2024 (-41.5%), $3.54 million in FY2023 (-47.4%), $6.73 million in FY2022 (+37.6%) and $4.89 million in FY2021 (+5.5%).
- Five-year quarterly Assets spans a low of $2.07 million in Q4 2024 and a high of $9.06 million in Q4 2025.
- Year over year, Assets has now increased in each of the last four quarters, with growth averaging 48.2% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q4 2025 (growth of 337.7%); the low point was Q3 2022 (a decline of 66.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.63 million (Q1 2026), $9.06 million (Q4 2025) and $4.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 127.67 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 173.97 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 165.87 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 62.45 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 60.16 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 13.25 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 19.24 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 50.76 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 77.34 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 4.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.07 Mn |
| Mar 31, 2026 | 6.63 Mn |
| Dec 31, 2025 | 9.06 Mn |
| Sep 30, 2025 | 4.02 Mn |
| Jun 30, 2025 | 3.53 Mn |
| Mar 31, 2025 | 5.93 Mn |
| Dec 31, 2024 | 2.07 Mn |
| Sep 30, 2024 | 3.51 Mn |
| Jun 30, 2024 | 4.66 Mn |
| Mar 31, 2024 | 3.07 Mn |
| Dec 31, 2023 | 3.54 Mn |
| Sep 30, 2023 | 4.42 Mn |
| Jun 30, 2023 | 4.58 Mn |
| Mar 31, 2023 | 5.53 Mn |
| Dec 31, 2022 | 6.73 Mn |
| Sep 30, 2022 | 2.19 Mn |
| Jun 30, 2022 | 2.55 Mn |
| Mar 31, 2022 | 3.75 Mn |
| Dec 31, 2021 | 4.89 Mn |
| Sep 30, 2021 | 6.63 Mn |
API Access
Applied Energetics 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=assets&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();