Applied Energetics (AERG) Receivables - Other (2010 - 2025)
Applied Energetics (AERG) posted Receivables - Other of $1,750 for Q2 2025.
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Analysis
Applied Energetics (AERG) Receivables - Other (2010 - 2025) Analysis & Trends
At the end of FY2023, Applied Energetics' Receivables - Other came in at $414,763, up 17.4% from FY2022.
- In prior years, Applied Energetics' Receivables - Other was $353,149 in FY2022, $2,880 in FY2020 (-95.0%) and $57,432 in FY2019.
- The Q2 2025 figure stands as the highest quarterly Receivables - Other since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 310.80 Bn | 269.32 Bn | 5.02 Bn |
| 2 | Rtx | 257.42 Bn | 225.69 Bn | 5.81 Bn |
| 3 | Boeing | 152.31 Bn | 59.00 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 126.62 Bn | 113.34 Bn | 2.45 Bn |
| 5 | General Dynamics | 93.50 Bn | 80.62 Bn | 2.18 Bn |
| 6 | Howmet Aerospace | 82.50 Bn | 78.10 Bn | 951.00 Mn |
| 7 | Motorola Solutions | 77.20 Bn | 73.54 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 76.86 Bn | 64.31 Bn | 2.35 Bn |
| 9 | Honeywell International | 67.76 Bn | 19.89 Bn | 3.65 Bn |
| 10 | Applied Energetics | 199.97 Mn | 186.94 Mn | 40,430.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 1,750.00 |
| Dec 31, 2023 | 414,763.00 |
| Sep 30, 2023 | 404,051.00 |
| Jun 30, 2023 | 235,493.00 |
| Mar 31, 2023 | 324,452.00 |
| Dec 31, 2022 | 353,149.00 |
| Sep 30, 2022 | 219,618.00 |
| Jun 30, 2022 | 190,922.00 |
| Jun 30, 2021 | 2,880.00 |
| Mar 31, 2021 | 19,884.00 |
| Dec 31, 2020 | 2,880.00 |
| Sep 30, 2020 | 599,110.00 |
| Jun 30, 2020 | 2,879.00 |
| Mar 31, 2020 | 2,880.00 |
| Dec 31, 2019 | -13.00 |
| Sep 30, 2019 | -2,555.00 |
| Jun 30, 2019 | 312.00 |
| Mar 31, 2019 | 60,000.00 |
| Dec 31, 2018 | 312.00 |
| Sep 30, 2018 | 312.00 |
API Access
Applied Energetics Receivables - Other 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=receivables-other&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-other", "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=receivables-other&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();