Applied Energetics (AERG) Return on Equity [ROE] (2011 - 2026)
Applied Energetics (AERG) recorded Return on Equity [ROE] of -440.13% in Q2 2026, down 59.81 percentage points from -380.31% a year earlier and down 194.39 percentage points from the prior quarter.
Applied Energetics (AERG) Return on Equity [ROE] (2011 - 2026) Analysis & Trends
For FY2025, Applied Energetics reported Return on Equity [ROE] of -374.04%, up 537.61 percentage points from FY2024.
- Annual Return on Equity [ROE] has a four-year change of -141.71 percentage points (FY2021 to FY2025).
- Across earlier years, Return on Equity [ROE] came in at -911.65% in FY2024 (-707.41 pp), -204.23% in FY2023 (-69.16 pp), -135.07% in FY2022 (+97.26 pp) and -232.32% in FY2021.
- Quarterly Return on Equity [ROE] has ranged from -2680.29% in Q3 2025 to -87.70% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Equity [ROE] rose in four of the last eight quarters, with an average year-over-year change of -205.95 percentage points.
- Peak year-over-year performance for Return on Equity [ROE] in the last five years was a gain of 1653.67 percentage points in Q3 2023, against a drop of 2302.42 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -245.74% (Q1 2026), -435.54% (Q4 2025) and -2680.29% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 296.89 Bn | 255.41 Bn | 5.02 Bn | 51.23% |
| 2 | Rtx | 258.85 Bn | 227.12 Bn | 5.81 Bn | 12.69% |
| 3 | Boeing | 148.92 Bn | 55.60 Bn | 2.41 Bn | 40.42% |
| 4 | Lockheed Martin | 139.25 Bn | 123.49 Bn | 2.44 Bn | 69.17% |
| 5 | General Dynamics | 94.62 Bn | 81.73 Bn | 2.18 Bn | 16.96% |
| 6 | Motorola Solutions | 79.14 Bn | 75.49 Bn | 1.68 Bn | 81.51% |
| 7 | Northrop Grumman | 78.15 Bn | 65.60 Bn | 2.35 Bn | 24.72% |
| 8 | Howmet Aerospace | 74.22 Bn | 69.82 Bn | 951.00 Mn | 33.25% |
| 9 | Honeywell International | 69.53 Bn | 21.66 Bn | 3.65 Bn | 49.02% |
| 10 | Applied Energetics | 218.38 Mn | 205.36 Mn | 40,430.00 | -440.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -440.13% |
| Mar 31, 2026 | -245.74% |
| Dec 31, 2025 | -435.54% |
| Sep 30, 2025 | -2,680.29% |
| Jun 30, 2025 | -380.31% |
| Mar 31, 2025 | -412.76% |
| Dec 31, 2024 | -920.12% |
| Sep 30, 2024 | -377.88% |
| Jun 30, 2024 | -542.89% |
| Mar 31, 2024 | -1,007.03% |
| Dec 31, 2023 | -363.79% |
| Sep 30, 2023 | -240.43% |
| Jun 30, 2023 | -156.70% |
| Mar 31, 2023 | -118.40% |
| Dec 31, 2022 | -207.73% |
| Sep 30, 2022 | -1,894.10% |
| Jun 30, 2022 | -540.22% |
| Mar 31, 2022 | -259.87% |
| Dec 31, 2021 | -150.50% |
| Sep 30, 2021 | -87.70% |
Applied Energetics Return on Equity [ROE] 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-equity-%5Broe%5D&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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-equity-%5Broe%5D&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();