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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Applied Energetics | 195.41 Mn | 182.39 Mn | 40,430.00 |
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 |
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_KEY
import 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();