Applied Energetics (AERG) Market Capitalization (2021 - 2026)
Applied Energetics (AERG) posted Market Capitalization of $308.34 million for Q2 2026, down 33.0% from $459.99 million a year earlier but up 5.6% from the prior quarter.
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Analysis
Applied Energetics (AERG) Market Capitalization (2021 - 2026) Analysis & Trends
For FY2025, Applied Energetics' Market Capitalization came in at $415.54 million, up 203.6% from FY2024.
- Annual Market Capitalization shows a four-year compound annual growth rate of -4.4% (FY2021 to FY2025).
- In prior years, Applied Energetics' Market Capitalization was $136.87 million in FY2024 (-70.7%), $466.83 million in FY2023 (+13.0%), $413.26 million in FY2022 (-17.0%) and $498.15 million in FY2021.
- Quarterly Market Capitalization has run from a low of $136.87 million in Q4 2024 to a high of $538.16 million in Q2 2023 over five years.
- On a year-over-year basis, Market Capitalization increased in four of the last eight quarters, with growth averaging 29.1%.
- The strongest year-over-year quarter for Market Capitalization in the past five years was Q2 2022, with growth of 209.5%; the weakest was Q4 2024, with a decline of 70.7%.
- According to Business Quant data, Market Capitalization for the three prior quarters was $291.85 million (Q1 2026), $415.54 million (Q4 2025) and $444.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 308.34 Mn |
| Mar 31, 2026 | 291.85 Mn |
| Dec 31, 2025 | 415.54 Mn |
| Sep 30, 2025 | 444.66 Mn |
| Jun 30, 2025 | 459.99 Mn |
| Mar 31, 2025 | 152.82 Mn |
| Dec 31, 2024 | 136.87 Mn |
| Sep 30, 2024 | 196.70 Mn |
| Jun 30, 2024 | 322.61 Mn |
| Mar 31, 2024 | 430.87 Mn |
| Dec 31, 2023 | 466.83 Mn |
| Sep 30, 2023 | 523.72 Mn |
| Jun 30, 2023 | 538.16 Mn |
| Mar 31, 2023 | 462.16 Mn |
| Dec 31, 2022 | 413.26 Mn |
| Sep 30, 2022 | 475.90 Mn |
| Jun 30, 2022 | 467.53 Mn |
| Mar 31, 2022 | 434.08 Mn |
| Dec 31, 2021 | 498.15 Mn |
| Sep 30, 2021 | 375.69 Mn |
API Access
Applied Energetics Market Capitalization 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=market-capitalization&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();