Applied Energetics (AERG) Return on Assets [ROA] (2011 - 2026)
Applied Energetics' Return on Assets [ROA] came in at -300.38% for Q2 2026, down 59.51 percentage points from -240.86% a year earlier and down 101.89 percentage points from the prior quarter.
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Analysis
Applied Energetics (AERG) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Applied Energetics' Return on Assets [ROA] was -267.12%, up 59.81 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -180.76 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -326.93% in FY2024 (-183.79 pp), -143.14% in FY2023 (-43.80 pp), -99.35% in FY2022 (+14.56 pp) and -113.91% in FY2021 (-27.54 pp).
- The five-year range for quarterly Return on Assets [ROA] is -344.25% (Q3 2025) to -49.76% (Q3 2021).
- Year-over-year, Return on Assets [ROA] increased in three of the last eight quarters, with an average year-over-year change of -34.04 percentage points.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q4 2025 (a gain of 101.47 percentage points), and the weakest in Q3 2022 (a drop of 200.02 percentage points).
- Business Quant data shows AERG's Return on Assets [ROA] at -198.48% (Q1 2026), -227.40% (Q4 2025) and -344.25% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 7.01% |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 4.72% |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.48% |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 10.33% |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 7.53% |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 14.22% |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 11.17% |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 8.92% |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 10.86% |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | -300.38% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -300.38% |
| Mar 31, 2026 | -198.48% |
| Dec 31, 2025 | -227.40% |
| Sep 30, 2025 | -344.25% |
| Jun 30, 2025 | -240.86% |
| Mar 31, 2025 | -241.71% |
| Dec 31, 2024 | -328.87% |
| Sep 30, 2024 | -216.07% |
| Jun 30, 2024 | -213.64% |
| Mar 31, 2024 | -242.54% |
| Dec 31, 2023 | -184.75% |
| Sep 30, 2023 | -157.28% |
| Jun 30, 2023 | -122.47% |
| Mar 31, 2023 | -96.75% |
| Dec 31, 2022 | -129.42% |
| Sep 30, 2022 | -249.78% |
| Jun 30, 2022 | -204.59% |
| Mar 31, 2022 | -141.60% |
| Dec 31, 2021 | -94.19% |
| Sep 30, 2021 | -49.76% |
API Access
Applied Energetics Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();