Applied Energetics (AERG) Inventory (2010 - 2019)
Applied Energetics' Inventory was $5,930 in Q3 2019.
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Analysis
Applied Energetics (AERG) Inventory (2010 - 2019) Analysis & Trends
At the end of FY2013, Inventory at Applied Energetics came in at $37,953, down 43.3% from FY2012.
- Inventory has now declined for three consecutive years, with a three-year compound annual growth rate of -61.9% (FY2010 to FY2013).
- In earlier years, Inventory was $66,884 in FY2012 (-52.8%), $141,676 in FY2011 (-79.3%) and $683,546 in FY2010.
- The Q3 2019 figure marks the highest quarterly Inventory in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 12.44 Bn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 14.41 Bn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 88.39 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 4.41 Bn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | 9.10 Bn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 2.18 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 1.33 Bn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 1.42 Bn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 6.40 Bn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 5,930.00 |
| Sep 30, 2014 | 37,953.00 |
| Jun 30, 2014 | 37,953.00 |
| Mar 31, 2014 | 37,953.00 |
| Dec 31, 2013 | 37,953.00 |
| Sep 30, 2013 | 66,719.00 |
| Jun 30, 2013 | 66,719.00 |
| Mar 31, 2013 | 67,649.00 |
| Dec 31, 2012 | 66,884.00 |
| Sep 30, 2012 | 69,133.00 |
| Jun 30, 2012 | 90,681.00 |
| Mar 31, 2012 | 141,304.00 |
| Dec 31, 2011 | 141,676.00 |
| Sep 30, 2011 | 93,756.00 |
| Jun 30, 2011 | 259,302.00 |
| Dec 31, 2010 | 683,546.00 |
API Access
Applied Energetics Inventory 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=inventory&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();