Applied Energetics (AERG) Amortization of Deferred Charges (2017 - 2024)
Applied Energetics' Amortization of Deferred Charges was $57,590 in Q3 2024, compared with -$486,676 a year earlier and unchanged from the prior quarter.
Applied Energetics (AERG) Amortization of Deferred Charges (2017 - 2024) Analysis & Trends
On a trailing twelve-month basis, Applied Energetics' Amortization of Deferred Charges was $216,023 through Sep 30, 2024, up 1.9% year-over-year; for FY2023, it came in at $202,354, down 8.6% from FY2022.
- Amortization of Deferred Charges shows a three-year compound annual growth rate of 10.5% (FY2020 to FY2023).
- In earlier years, Amortization of Deferred Charges was $221,352 in FY2022 (+41.4%), $156,562 in FY2021 (+4.5%) and $149,856 in FY2020.
- Quarterly Amortization of Deferred Charges has moved between -$486,676 (Q3 2023) and $584,652 (Q2 2023) over five years.
- Compared with a year earlier, Amortization of Deferred Charges was higher in three of the last six quarters, with growth averaging 141.6%.
- The best year-over-year quarter for Amortization of Deferred Charges over five years was Q2 2023 (growth of 862.2%); the worst was Q2 2024 (a decline of 90.1%).
- Per Business Quant data, AERG's Amortization of Deferred Charges in the three quarters before Q3 2024 was $57,590 (Q2 2024), $51,855 (Q1 2024) and $48,988 (Q4 2023).
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
| Date | Value |
|---|---|
| Sep 30, 2024 | 57,590.00 |
| Jun 30, 2024 | 57,590.00 |
| Mar 31, 2024 | 51,855.00 |
| Dec 31, 2023 | 48,988.00 |
| Sep 30, 2023 | -486,676.00 |
| Jun 30, 2023 | 584,652.00 |
| Mar 31, 2023 | 55,390.00 |
| Dec 31, 2022 | 58,592.00 |
| Sep 30, 2022 | 58,591.00 |
| Jun 30, 2022 | 60,762.00 |
| Mar 31, 2022 | 43,407.00 |
| Dec 31, 2021 | 33,902.00 |
| Sep 30, 2021 | 40,466.00 |
| Jun 30, 2021 | 39,070.00 |
| Mar 31, 2021 | 43,124.00 |
| Dec 31, 2020 | 734,836.00 |
| Sep 30, 2020 | 85,981.00 |
| Jun 30, 2020 | 58,880.00 |
| Mar 31, 2020 | 39,303.00 |
| Mar 31, 2019 | 11,539.00 |
Applied Energetics Amortization of Deferred Charges 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=amortization-of-deferred-charges&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-of-deferred-charges", "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=amortization-of-deferred-charges&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();