Applied Energetics (AERG) Shares Outstanding (2011 - 2026)
Applied Energetics' Shares Outstanding was 229.9 million in Q2 2026, up 5.3% from 218.43 million a year earlier and up 0.1% from the prior quarter.
Applied Energetics (AERG) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at Applied Energetics came in at 223.99 million, up 5.2% from FY2024.
- Shares Outstanding has now increased for five consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 212.89 million in FY2024 (+0.9%), 211.08 million in FY2023 (+1.4%), 208.13 million in FY2022 (+3.6%) and 200.85 million in FY2021 (+3.8%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q1 2011.
- Compared with a year earlier, Shares Outstanding has increased for 19 straight quarters, with growth averaging 3.3% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding over five years was Q1 2022 (growth of 6.3%); the worst was Q3 2021 (a decline of 3.1%).
- Per Business Quant data, AERG's Shares Outstanding in the three quarters before Q2 2026 was 229.7 million (Q1 2026), 223.99 million (Q4 2025) and 219.03 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 1.04 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.35 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 790.80 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 230.20 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 270.16 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 400.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 165.80 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 142.10 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 317.10 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 229.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 229.90 Mn |
| Mar 31, 2026 | 229.70 Mn |
| Dec 31, 2025 | 223.99 Mn |
| Sep 30, 2025 | 219.03 Mn |
| Jun 30, 2025 | 218.43 Mn |
| Mar 31, 2025 | 217.42 Mn |
| Dec 31, 2024 | 212.89 Mn |
| Sep 30, 2024 | 213.75 Mn |
| Jun 30, 2024 | 212.61 Mn |
| Mar 31, 2024 | 211.32 Mn |
| Dec 31, 2023 | 211.08 Mn |
| Sep 30, 2023 | 211.13 Mn |
| Jun 30, 2023 | 211.03 Mn |
| Mar 31, 2023 | 210.98 Mn |
| Dec 31, 2022 | 208.13 Mn |
| Sep 30, 2022 | 207.79 Mn |
| Jun 30, 2022 | 207.72 Mn |
| Mar 31, 2022 | 207.66 Mn |
| Dec 31, 2021 | 200.85 Mn |
| Sep 30, 2021 | 203.86 Mn |
Applied Energetics Shares Outstanding 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=shares-outstanding&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();