Applied Energetics (AERG) Research & Development (2011 - 2026)
Applied Energetics (AERG) recorded Research & Development of $699,234 in Q2 2026, up 108.0% from $336,178 a year earlier and up 86.4% from the prior quarter.
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Analysis
Applied Energetics (AERG) Research & Development (2011 - 2026) Analysis & Trends
On a TTM basis, Applied Energetics' Research & Development came in at $2.09 million as of Jun 30, 2026, up 167.5% year-over-year; for FY2025, it came in at $1.67 million, up 598.6% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 44.3% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $239,060 in FY2024 (+2.3%), $233,722 in FY2023 (-27.1%), $320,506 in FY2022 (+13.7%) and $281,896 in FY2021 (+5.6%).
- The Q2 2026 figure is the highest quarterly Research & Development in data going back to Q1 2011.
- On a year-over-year basis, Research & Development rose in six of the last seven quarters, with growth averaging 252.0%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 786.5% in Q2 2025, against a decline of 63.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $375,041 (Q1 2026), $554,929 (Q4 2025) and $455,850 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 460.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 726.00 Mn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 921.00 Mn |
| 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 | 8.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 260.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 524.00 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 699,234.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 699,234.00 |
| Mar 31, 2026 | 375,041.00 |
| Dec 31, 2025 | 554,929.00 |
| Sep 30, 2025 | 455,850.00 |
| Jun 30, 2025 | 336,178.00 |
| Mar 31, 2025 | 323,047.00 |
| Dec 31, 2024 | 50,113.00 |
| Sep 30, 2024 | 70,244.00 |
| Jun 30, 2024 | 37,923.00 |
| Mar 31, 2024 | 80,780.00 |
| Dec 31, 2023 | 66,764.00 |
| Sep 30, 2023 | 54,222.00 |
| Jun 30, 2023 | 52,756.00 |
| Mar 31, 2023 | 59,980.00 |
| Dec 31, 2022 | 34,141.00 |
| Sep 30, 2022 | 65,364.00 |
| Jun 30, 2022 | 145,014.00 |
| Mar 31, 2022 | 75,987.00 |
| Dec 31, 2021 | 89,113.00 |
| Sep 30, 2021 | 61,968.00 |
API Access
Applied Energetics Research & Development 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=research-and-development&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();