Applied Energetics (AERG) Capital Expenditures (2010 - 2026)
Applied Energetics' Capital Expenditures was $37,072 in Q2 2026, down 96.4% from $1.04 million a year earlier and down 14.6% from the prior quarter.
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Analysis
Applied Energetics (AERG) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Applied Energetics' Capital Expenditures was $163,636 through Jun 30, 2026, down 86.3% year-over-year; for FY2025, it came in at $1.23 million.
- Capital Expenditures shows a four-year compound annual growth rate of 56.2% (FY2021 to FY2025).
- In earlier years, Capital Expenditures was $98,847 in FY2024 (-73.2%), $369,267 in FY2023 (+397.8%), $74,184 in FY2022 (-64.2%) and $207,367 in FY2021.
- Quarterly Capital Expenditures has moved between -$4,812 (Q4 2022) and $1.04 million (Q2 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in 1 of the last four quarters, with an average decline of 53.3%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2022 (growth of 890.7%); the worst was Q2 2026 (a decline of 96.4%).
- Per Business Quant data, AERG's Capital Expenditures in the three quarters before Q2 2026 was $43,393 (Q1 2026), $53,104 (Q4 2025) and $30,067 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 335.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 669.00 Mn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 733.00 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 318.00 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 234.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 104.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 55.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 302.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 315.00 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 37,072.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37,072.00 |
| Mar 31, 2026 | 43,393.00 |
| Dec 31, 2025 | 53,104.00 |
| Sep 30, 2025 | 30,067.00 |
| Jun 30, 2025 | 1.04 Mn |
| Mar 31, 2025 | 114,118.00 |
| Dec 31, 2024 | 43,412.00 |
| Dec 31, 2023 | 191,363.00 |
| Sep 30, 2023 | 107,273.00 |
| Jun 30, 2023 | 38,535.00 |
| Mar 31, 2023 | 32,096.00 |
| Dec 31, 2022 | -4,812.00 |
| Sep 30, 2022 | 38,014.00 |
| Jun 30, 2022 | 34,527.00 |
| Mar 31, 2022 | 6,455.00 |
| Dec 31, 2021 | 1,169.00 |
| Sep 30, 2021 | 132,056.00 |
| Jun 30, 2021 | 3,485.00 |
| Mar 31, 2021 | 70,657.00 |
| Dec 31, 2019 | 8,009.00 |
API Access
Applied Energetics Capital Expenditures 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=capital-expenditures&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();