Applied Energetics (AERG) Other Operating Expenses (2011 - 2026)
Applied Energetics' Other Operating Expenses came in at $223,330 for Q2 2026, down 65.6% from $649,260 a year earlier but up 29.6% from the prior quarter.
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Analysis
Applied Energetics (AERG) Other Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Applied Energetics reported Other Operating Expenses of $777,591, down 34.7% year-over-year; for FY2025, it came in at $1.35 million, up 260.3% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $374,710 in FY2024 (-2.5%), $384,231 in FY2023 (+19.6%), $321,384 in FY2022 (+1.3%) and $317,350 in FY2021 (+7.0%).
- The five-year range for quarterly Other Operating Expenses is $56,416 (Q3 2022) to $649,260 (Q2 2025).
- Year-over-year, Other Operating Expenses increased in five of the last eight quarters, with growth averaging 146.8%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q2 2025 (growth of 751.9%), and the weakest in Q2 2026 (a decline of 65.6%).
- Business Quant data shows AERG's Other Operating Expenses at $172,279 (Q1 2026), $185,656 (Q4 2025) and $196,326 (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 | 223,330.00 |
| Mar 31, 2026 | 172,279.00 |
| Dec 31, 2025 | 185,656.00 |
| Sep 30, 2025 | 196,326.00 |
| Jun 30, 2025 | 649,260.00 |
| Mar 31, 2025 | 318,784.00 |
| Dec 31, 2024 | 136,536.00 |
| Sep 30, 2024 | 86,398.00 |
| Jun 30, 2024 | 76,216.00 |
| Mar 31, 2024 | 75,560.00 |
| Dec 31, 2023 | 86,784.00 |
| Sep 30, 2023 | 94,092.00 |
| Jun 30, 2023 | 94,465.00 |
| Mar 31, 2023 | 108,890.00 |
| Dec 31, 2022 | 89,856.00 |
| Sep 30, 2022 | 56,416.00 |
| Jun 30, 2022 | 98,442.00 |
| Mar 31, 2022 | 76,670.00 |
| Dec 31, 2021 | 81,453.00 |
| Sep 30, 2021 | 83,173.00 |
API Access
Applied Energetics Other Operating Expenses 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=other-operating-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();