Applied Energetics (AERG) Gains from Sales and Divestitures (2010 - 2015)
Applied Energetics' Gains from Sales and Divestitures came in at -$14,540 for FY2022.
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Analysis
Applied Energetics (AERG) Gains from Sales and Divestitures (2010 - 2015) Analysis & Trends
Going back to FY2011, Applied Energetics' Gains from Sales and Divestitures data covers 6 years.
- The FY2022 figure represents the highest annual Gains from Sales and Divestitures since FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn |
| 10 | Applied Energetics | 195.41 Mn | 182.39 Mn | 40,430.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | -1,000.00 |
| Sep 30, 2014 | -1,700.00 |
| Dec 31, 2013 | 14,592.00 |
| Sep 30, 2013 | -1,200.00 |
| Dec 31, 2012 | -818,505.00 |
| Sep 30, 2012 | 77,005.00 |
| Jun 30, 2012 | 21,500.00 |
| Dec 31, 2011 | -31,732.00 |
| Sep 30, 2011 | -4,697.00 |
| Jun 30, 2011 | 1.00 |
| Mar 31, 2011 | -97.00 |
| Sep 30, 2010 | -9,429.00 |
API Access
Applied Energetics Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();