Applied Energetics (AERG) Accumulated Expenses (2010 - 2026)
Applied Energetics (AERG) posted Accumulated Expenses of $200,303 for Q2 2026, up 69.6% from $118,084 a year earlier but down 40.6% from the prior quarter.
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Analysis
Applied Energetics (AERG) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Accumulated Expenses came in at $242,197, up 283.5% from FY2024.
- Annual Accumulated Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 203.7% (FY2020 to FY2025).
- In prior years, Applied Energetics' Accumulated Expenses was $63,153 in FY2024 (+55.9%), $40,510 in FY2023 (+44.7%), $28,005 in FY2022 (+28.1%) and $21,870 in FY2021.
- Quarterly Accumulated Expenses has run from a low of $967.00 in Q3 2021 to a high of $337,099 in Q1 2026 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 12 quarters, with growth averaging 143.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2023, with growth of 361.5%; the weakest was Q3 2021, with a decline of 99.8%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $337,099 (Q1 2026), $242,197 (Q4 2025) and $259,482 (Q3 2025).
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 | 200,303.00 |
| Mar 31, 2026 | 337,099.00 |
| Dec 31, 2025 | 242,197.00 |
| Sep 30, 2025 | 259,482.00 |
| Jun 30, 2025 | 118,084.00 |
| Mar 31, 2025 | 93,319.00 |
| Dec 31, 2024 | 63,153.00 |
| Sep 30, 2024 | 74,365.00 |
| Jun 30, 2024 | 45,282.00 |
| Mar 31, 2024 | 77,117.00 |
| Dec 31, 2023 | 40,510.00 |
| Sep 30, 2023 | 49,875.00 |
| Jun 30, 2023 | 23,674.00 |
| Mar 31, 2023 | 42,032.00 |
| Dec 31, 2022 | 28,005.00 |
| Sep 30, 2022 | 10,807.00 |
| Jun 30, 2022 | 64,160.00 |
| Mar 31, 2022 | 19,609.00 |
| Dec 31, 2021 | 21,870.00 |
| Sep 30, 2021 | 967.00 |
API Access
Applied Energetics Accumulated 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=accumulated-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();