Applied Energetics (AERG) Depreciation & Amortization (CF) (2010 - 2026)
Applied Energetics (AERG) recorded Depreciation & Amortization (CF) of $87,004 in Q2 2026, up 49.9% from $58,052 a year earlier but down 1.3% from the prior quarter.
Applied Energetics (AERG) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
On a TTM basis, Applied Energetics' Depreciation & Amortization (CF) came in at $343,144 as of Jun 30, 2026, up 49.7% year-over-year; for FY2025, it was $282,200, up 28.9% from FY2024.
- Annual Depreciation & Amortization (CF) has increased for six straight years, with a five-year compound annual growth rate of 75.2% (FY2020 to FY2025).
- Across earlier years, Depreciation & Amortization (CF) came in at $218,907 in FY2024 (+71.5%), $127,639 in FY2023 (+73.6%), $73,519 in FY2022 (+267.2%) and $20,024 in FY2021 (+17.1%).
- Quarterly Depreciation & Amortization (CF) has ranged from $2,003 in Q4 2021 to $88,143 in Q1 2026 over the past five years.
- On a year-over-year basis, Depreciation & Amortization (CF) has increased for 14 consecutive quarters, with growth averaging 41.1% over the last eight quarters.
- Peak year-over-year performance for Depreciation & Amortization (CF) in the last five years was growth of 301.4% in Q1 2023, against a decline of 53.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $88,143 (Q1 2026), $86,661 (Q4 2025) and $81,336 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 224.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.08 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 596.00 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 400.00 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 175.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 84.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 148.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 367.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 156.00 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 87,004.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87,004.00 |
| Mar 31, 2026 | 88,143.00 |
| Dec 31, 2025 | 86,661.00 |
| Sep 30, 2025 | 81,336.00 |
| Jun 30, 2025 | 58,052.00 |
| Mar 31, 2025 | 56,151.00 |
| Dec 31, 2024 | 57,740.00 |
| Sep 30, 2024 | 57,246.00 |
| Jun 30, 2024 | 51,482.00 |
| Mar 31, 2024 | 52,439.00 |
| Dec 31, 2023 | 37,075.00 |
| Sep 30, 2023 | 37,189.00 |
| Jun 30, 2023 | 28,449.00 |
| Mar 31, 2023 | 24,926.00 |
| Dec 31, 2022 | 23,020.00 |
| Sep 30, 2022 | 23,542.00 |
| Jun 30, 2022 | 20,748.00 |
| Mar 31, 2022 | 6,209.00 |
| Dec 31, 2021 | 2,003.00 |
| Sep 30, 2021 | 7,655.00 |
Applied Energetics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();