Applied Energetics (AERG) Selling, General & Administrative (2011 - 2026)
Applied Energetics (AERG) recorded Selling, General & Administrative of $3.42 million in Q2 2026, up 21.1% from $2.82 million a year earlier and up 4.1% from the prior quarter.
Applied Energetics (AERG) Selling, General & Administrative (2011 - 2026) Analysis & Trends
On a TTM basis, Applied Energetics' Selling, General & Administrative came in at $13.43 million as of Jun 30, 2026, up 30.6% year-over-year; for FY2025, it came in at $12.16 million, up 27.9% from FY2024.
- Annual Selling, General & Administrative has increased for ten straight years, with a five-year compound annual growth rate of 20.9% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $9.51 million in FY2024 (+8.4%), $8.77 million in FY2023 (+43.1%), $6.13 million in FY2022 (+25.0%) and $4.9 million in FY2021 (+4.4%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative in data going back to Q1 2011.
- On a year-over-year basis, Selling, General & Administrative has increased for 15 consecutive quarters, with growth averaging 21.1% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 77.7% in Q3 2023, against a decline of 4.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.28 million (Q1 2026), $3.35 million (Q4 2025) and $3.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 1.13 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 1.66 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.43 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 | 723.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 148.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 496.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 1.03 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 1.34 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 3.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 Mn |
| Mar 31, 2026 | 3.28 Mn |
| Dec 31, 2025 | 3.35 Mn |
| Sep 30, 2025 | 3.37 Mn |
| Jun 30, 2025 | 2.82 Mn |
| Mar 31, 2025 | 2.61 Mn |
| Dec 31, 2024 | 2.39 Mn |
| Sep 30, 2024 | 2.46 Mn |
| Jun 30, 2024 | 2.34 Mn |
| Mar 31, 2024 | 2.32 Mn |
| Dec 31, 2023 | 2.37 Mn |
| Sep 30, 2023 | 2.22 Mn |
| Jun 30, 2023 | 2.07 Mn |
| Mar 31, 2023 | 2.12 Mn |
| Dec 31, 2022 | 1.76 Mn |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 1.49 Mn |
| Mar 31, 2022 | 1.63 Mn |
| Dec 31, 2021 | 1.49 Mn |
| Sep 30, 2021 | 1.30 Mn |
Applied Energetics Selling, General & Administrative 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=selling-general-and-administrative&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();