Applied Energetics (AERG) Current Assets (2010 - 2026)
Applied Energetics (AERG) posted Current Assets of $2.21 million for Q2 2026, up 81.6% from $1.22 million a year earlier but down 52.5% from the prior quarter.
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Analysis
Applied Energetics (AERG) Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Applied Energetics' Current Assets came in at $6.97 million, up 948.4% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- In prior years, Applied Energetics' Current Assets was $664,779 in FY2024 (-67.3%), $2.04 million in FY2023 (-66.6%), $6.09 million in FY2022 (+64.2%) and $3.71 million in FY2021 (+10.1%).
- Quarterly Current Assets has run from a low of $664,779 in Q4 2024 to a high of $6.97 million in Q4 2025 over five years.
- On a year-over-year basis, Current Assets has increased in each of the last three quarters, with growth averaging 128.8% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2025, with growth of 948.4%; the weakest was Q3 2022, with a decline of 71.3%.
- According to Business Quant data, Current Assets for the three prior quarters was $4.65 million (Q1 2026), $6.97 million (Q4 2025) and $1.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 39.70 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 63.91 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 124.63 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 28.40 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 27.04 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 4.19 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 6.13 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 15.59 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 28.08 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | 2.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.21 Mn |
| Mar 31, 2026 | 4.65 Mn |
| Dec 31, 2025 | 6.97 Mn |
| Sep 30, 2025 | 1.82 Mn |
| Jun 30, 2025 | 1.22 Mn |
| Mar 31, 2025 | 4.53 Mn |
| Dec 31, 2024 | 664,779.00 |
| Sep 30, 2024 | 2.03 Mn |
| Jun 30, 2024 | 3.30 Mn |
| Mar 31, 2024 | 1.67 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 3.02 Mn |
| Jun 30, 2023 | 3.65 Mn |
| Mar 31, 2023 | 4.91 Mn |
| Dec 31, 2022 | 6.09 Mn |
| Sep 30, 2022 | 1.49 Mn |
| Jun 30, 2022 | 1.84 Mn |
| Mar 31, 2022 | 2.80 Mn |
| Dec 31, 2021 | 3.71 Mn |
| Sep 30, 2021 | 5.21 Mn |
API Access
Applied Energetics Current Assets 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=current-assets&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();