Applied Energetics (AERG) Property, Plant & Equipment (Net) (2010 - 2026)
Applied Energetics (AERG) reported Property, Plant & Equipment (Net) of $1.17 million for Q2 2026, down 13.3% from $1.35 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Applied Energetics (AERG) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics posted Property, Plant & Equipment (Net) of $1.27 million, up 302.9% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 130.5% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $314,503 in FY2024 (-27.6%), $434,563 in FY2023 (+125.2%), $192,935 in FY2022 (-6.7%) and $206,810 in FY2021 (+962.4%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- Year over year, Property, Plant & Equipment (Net) gained in five of the last eight quarters, with growth averaging 131.3%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2021 (growth of 962.4%); the low point was Q4 2024 (a decline of 27.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.22 million (Q1 2026), $1.27 million (Q4 2025) and $1.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 295.17 Bn | 253.91 Bn | 5.02 Bn | 8.33 Bn |
| 2 | Rtx | 257.77 Bn | 227.75 Bn | 5.81 Bn | 17.24 Bn |
| 3 | Boeing | 148.82 Bn | 55.52 Bn | 2.41 Bn | 16.32 Bn |
| 4 | Lockheed Martin | 139.64 Bn | 123.87 Bn | 2.44 Bn | 11.52 Bn |
| 5 | General Dynamics | 94.53 Bn | 81.64 Bn | 2.18 Bn | 7.58 Bn |
| 6 | Motorola Solutions | 79.77 Bn | 76.13 Bn | 1.68 Bn | 1.17 Bn |
| 7 | Northrop Grumman | 78.36 Bn | 65.81 Bn | 2.35 Bn | 10.46 Bn |
| 8 | Howmet Aerospace | 74.35 Bn | 69.95 Bn | 951.00 Mn | 2.82 Bn |
| 9 | Honeywell International | 70.09 Bn | 22.54 Bn | 3.65 Bn | 4.59 Bn |
| 10 | Applied Energetics | 207.09 Mn | 194.07 Mn | 40,430.00 | 1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 1.22 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 1.30 Mn |
| Jun 30, 2025 | 1.35 Mn |
| Mar 31, 2025 | 372,470.00 |
| Dec 31, 2024 | 314,503.00 |
| Sep 30, 2024 | 328,831.00 |
| Jun 30, 2024 | 386,077.00 |
| Mar 31, 2024 | 382,124.00 |
| Dec 31, 2023 | 434,563.00 |
| Sep 30, 2023 | 280,275.00 |
| Jun 30, 2023 | 210,191.00 |
| Mar 31, 2023 | 200,105.00 |
| Dec 31, 2022 | 192,935.00 |
| Sep 30, 2022 | 220,765.00 |
| Jun 30, 2022 | 206,295.00 |
| Mar 31, 2022 | 207,056.00 |
| Dec 31, 2021 | 206,810.00 |
| Sep 30, 2021 | 207,643.00 |
API Access
Applied Energetics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();