Applied Energetics (AERG) Enterprise Value (2021 - 2026)
Applied Energetics' Enterprise Value came in at $307.15 million for Q2 2026, down 33.1% from $459.12 million a year earlier but up 6.7% from the prior quarter.
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Analysis
Applied Energetics (AERG) Enterprise Value (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Applied Energetics reported Enterprise Value of $295.32 million, down 34.8% year-over-year; for FY2025, it was $409.1 million, up 199.3% from FY2024.
- Enterprise Value carries a four-year compound annual growth rate of -4.6% (FY2021 to FY2025).
- Going back by year, Enterprise Value was $136.71 million in FY2024 (-70.6%), $465.51 million in FY2023 (+14.2%), $407.62 million in FY2022 (-17.6%) and $494.49 million in FY2021.
- The five-year range for quarterly Enterprise Value is $136.71 million (Q4 2024) to $531.29 million (Q2 2023).
- Year-over-year, Enterprise Value increased in four of the last eight quarters, with growth averaging 29.0%.
- The fastest year-over-year change in Enterprise Value over five years came in Q2 2022 (growth of 215.0%), and the weakest in Q4 2024 (a decline of 70.6%).
- Business Quant data shows AERG's Enterprise Value at $287.79 million (Q1 2026), $409.1 million (Q4 2025) and $443.33 million (Q3 2025) in the three quarters before Q2 2026.
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 | 307.15 Mn |
| Mar 31, 2026 | 287.79 Mn |
| Dec 31, 2025 | 409.10 Mn |
| Sep 30, 2025 | 443.33 Mn |
| Jun 30, 2025 | 459.12 Mn |
| Mar 31, 2025 | 148.54 Mn |
| Dec 31, 2024 | 136.71 Mn |
| Sep 30, 2024 | 195.09 Mn |
| Jun 30, 2024 | 319.81 Mn |
| Mar 31, 2024 | 429.86 Mn |
| Dec 31, 2023 | 465.51 Mn |
| Sep 30, 2023 | 521.30 Mn |
| Jun 30, 2023 | 531.29 Mn |
| Mar 31, 2023 | 452.93 Mn |
| Dec 31, 2022 | 407.62 Mn |
| Sep 30, 2022 | 474.75 Mn |
| Jun 30, 2022 | 466.04 Mn |
| Mar 31, 2022 | 431.53 Mn |
| Dec 31, 2021 | 494.49 Mn |
| Sep 30, 2021 | 370.55 Mn |
API Access
Applied Energetics Enterprise Value 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=enterprise-value&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();