Applied Energetics (AERG) EBITDA Margin (2011 - 2026)
Applied Energetics' EBITDA Margin was -6711.91% in Q2 2026, down 1411.99 percentage points from -5299.92% a year earlier.
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Analysis
Applied Energetics (AERG) EBITDA Margin (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Energetics' EBITDA Margin was -4975.07% through Jun 30, 2026, down 4363.76 percentage points year-over-year; for FY2025, it came in at -3141.93%, down 2782.03 percentage points from FY2024.
- EBITDA Margin shows a five-year change of -258.41 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was -359.91% in FY2024 (-99.07 pp), -260.84% in FY2023 (+157.80 pp) and -418.63% in FY2022.
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q1 2020.
- Compared with a year earlier, EBITDA Margin was higher in two of the last seven quarters, with an average year-over-year change of -2067.37 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q2 2023 (a gain of 554.73 percentage points); the worst was Q4 2025 (a drop of 5092.57 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | -43.99% |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 15.74% |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 3.06% |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 14.35% |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 11.91% |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 31.21% |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 30.55% |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 13.45% |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 21.58% |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | -6,711.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6,711.91% |
| Dec 31, 2025 | -5,355.94% |
| Sep 30, 2025 | -3,557.37% |
| Jun 30, 2025 | -5,299.92% |
| Mar 31, 2025 | -1,435.56% |
| Dec 31, 2024 | -263.37% |
| Sep 30, 2024 | -294.57% |
| Jun 30, 2024 | -242.69% |
| Mar 31, 2024 | -1,830.59% |
| Dec 31, 2023 | -196.18% |
| Sep 30, 2023 | -319.73% |
| Jun 30, 2023 | -217.52% |
| Mar 31, 2023 | -381.86% |
| Dec 31, 2022 | -261.94% |
| Sep 30, 2022 | -147.30% |
| Jun 30, 2022 | -772.25% |
| Sep 30, 2020 | -715.88% |
| Mar 31, 2020 | -11,760.05% |
| Sep 30, 2014 | -10,576.27% |
| Jun 30, 2014 | -9,859.57% |
API Access
Applied Energetics EBITDA Margin 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=ebitda-margin&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();