Applied Energetics (AERG) Price to Sales (2022 - 2026)
Applied Energetics' (AERG) Price to Sales came in at 982.06 for Q2 2026, up 282.5% from 256.72 a year earlier.
Powered by 
Analysis
Applied Energetics (AERG) Price to Sales (2022 - 2026) Analysis & Trends
For FY2025, Applied Energetics' Price to Sales stood at 899.97.
- In prior years, Applied Energetics' Price to Sales was 56.40 in FY2024 (-68.2%), 177.41 in FY2023 (-43.9%) and 316.01 in FY2022.
- The Q2 2026 figure stands as the highest quarterly Price to Sales since Q2 2022.
- On a year-over-year basis, Price to Sales increased in three of the last six quarters, with growth averaging 96.1%.
- The strongest year-over-year quarter for Price to Sales in the past five years was Q3 2025, with growth of 396.9%; the weakest was Q2 2023, with a decline of 81.0%.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 982.06 |
| Dec 31, 2025 | 899.97 |
| Sep 30, 2025 | 385.63 |
| Jun 30, 2025 | 256.72 |
| Mar 31, 2025 | 61.08 |
| Dec 31, 2024 | 56.40 |
| Sep 30, 2024 | 77.60 |
| Jun 30, 2024 | 129.06 |
| Mar 31, 2024 | 189.06 |
| Dec 31, 2023 | 177.41 |
| Sep 30, 2023 | 227.36 |
| Jun 30, 2023 | 248.75 |
| Mar 31, 2023 | 257.55 |
| Dec 31, 2022 | 316.01 |
| Sep 30, 2022 | 511.94 |
| Jun 30, 2022 | 1,310.20 |
API Access
Applied Energetics Price to Sales 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=price-to-sales&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();