Applied Energetics (AERG) EPS (Basic) (2011 - 2026)
Applied Energetics (AERG) recorded EPS (Basic) of -$0.02 in Q2 2026, compared with -$0.02 a year earlier.
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Analysis
Applied Energetics (AERG) EPS (Basic) (2011 - 2026) Analysis & Trends
On a TTM basis, Applied Energetics' EPS (Basic) came in at -$0.07 as of Jun 30, 2026; for FY2025, it was -$0.07.
- Across earlier years, EPS (Basic) came in at -$0.04 in FY2024, -$0.03 in FY2023, -$0.03 in FY2022 and -$0.03 in FY2021.
- The Q2 2026 figure is the lowest quarterly EPS (Basic) since Q3 2011.
- Per Business Quant, the preceding three quarters came in at -$0.02 (Q1 2026), -$0.02 (Q4 2025) and -$0.02 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 2.21 |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | 1.91 |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | -0.26 |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 8.00 |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | 4.55 |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 3.09 |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | 1.42 |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 7.91 |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 2.09 |
| 10 | Applied Energetics | 195.41 Mn | 182.39 Mn | 40,430.00 | -0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.02 |
| Mar 31, 2026 | -0.02 |
| Dec 31, 2025 | -0.02 |
| Sep 30, 2025 | -0.02 |
| Jun 30, 2025 | -0.02 |
| Mar 31, 2025 | -0.01 |
| Dec 31, 2024 | -0.01 |
| Sep 30, 2024 | -0.01 |
| Jun 30, 2024 | -0.01 |
| Mar 31, 2024 | -0.01 |
| Dec 31, 2023 | -0.01 |
| Sep 30, 2023 | -0.01 |
| Jun 30, 2023 | -0.01 |
| Mar 31, 2023 | -0.01 |
| Dec 31, 2022 | -0.01 |
| Sep 30, 2022 | 0.00 |
| Jun 30, 2022 | -0.01 |
| Mar 31, 2022 | -0.01 |
| Dec 31, 2021 | -0.01 |
| Sep 30, 2021 | -0.01 |
API Access
Applied Energetics EPS (Basic) 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=eps-basic&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();