Applied Energetics (AERG) Cash & Equivalents (2010 - 2026)
Applied Energetics' Cash & Equivalents came in at $1.19 million for Q2 2026, up 37.7% from $865,679 a year earlier but down 70.7% from the prior quarter.
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Analysis
Applied Energetics (AERG) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Cash & Equivalents was $6.44 million.
- Cash & Equivalents carries a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $164,812 in FY2024 (-87.5%), $1.32 million in FY2023 (-76.6%), $5.64 million in FY2022 (+54.0%) and $3.66 million in FY2021 (+10.2%).
- The five-year range for quarterly Cash & Equivalents is $164,812 (Q4 2024) to $6.44 million (Q4 2025).
- Year-over-year, Cash & Equivalents increased in two of the last seven quarters, with growth averaging 21.5%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q1 2025 (growth of 325.2%), and the weakest in Q4 2024 (a decline of 87.5%).
- Business Quant data shows AERG's Cash & Equivalents at $4.06 million (Q1 2026), $6.44 million (Q4 2025) and $1.33 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 303.54 Bn | 262.06 Bn | 5.02 Bn | 8.76 Bn |
| 2 | Rtx | 262.72 Bn | 230.99 Bn | 5.81 Bn | 9.17 Bn |
| 3 | Boeing | 148.13 Bn | 54.82 Bn | 2.41 Bn | 7.24 Bn |
| 4 | Lockheed Martin | 135.78 Bn | 122.50 Bn | 2.45 Bn | 3.79 Bn |
| 5 | General Dynamics | 94.57 Bn | 81.69 Bn | 2.18 Bn | 4.33 Bn |
| 6 | Motorola Solutions | 79.37 Bn | 75.71 Bn | 1.68 Bn | 710.00 Mn |
| 7 | Northrop Grumman | 78.67 Bn | 66.13 Bn | 2.35 Bn | 3.74 Bn |
| 8 | Howmet Aerospace | 77.61 Bn | 73.21 Bn | 951.00 Mn | 563.00 Mn |
| 9 | Honeywell International | 69.07 Bn | 21.20 Bn | 3.65 Bn | 8.75 Bn |
| 10 | Applied Energetics | 206.91 Mn | 193.89 Mn | 40,430.00 | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.19 Mn |
| Mar 31, 2026 | 4.06 Mn |
| Dec 31, 2025 | 6.44 Mn |
| Sep 30, 2025 | 1.33 Mn |
| Jun 30, 2025 | 865,679.00 |
| Mar 31, 2025 | 4.29 Mn |
| Dec 31, 2024 | 164,812.00 |
| Sep 30, 2024 | 1.61 Mn |
| Jun 30, 2024 | 2.79 Mn |
| Mar 31, 2024 | 1.01 Mn |
| Dec 31, 2023 | 1.32 Mn |
| Sep 30, 2023 | 2.42 Mn |
| Jun 30, 2023 | 3.22 Mn |
| Mar 31, 2023 | 4.33 Mn |
| Dec 31, 2022 | 5.64 Mn |
| Sep 30, 2022 | 1.16 Mn |
| Jun 30, 2022 | 1.50 Mn |
| Mar 31, 2022 | 2.55 Mn |
| Dec 31, 2021 | 3.66 Mn |
| Sep 30, 2021 | 5.14 Mn |
API Access
Applied Energetics Cash & Equivalents 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=cash-and-equivalents&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();