Applied Energetics (AERG) Change in Inventory (2010 - 2013)
Applied Energetics' Change in Inventory came in at -$5,930 for FY2020, compared with $5,930 in FY2019.
Analysis
Applied Energetics (AERG) Change in Inventory (2010 - 2013) Analysis & Trends
Going back to FY2011, Applied Energetics' Change in Inventory data covers 6 years.
- The FY2020 figure represents the lowest annual Change in Inventory since FY2014.
- Per Business Quant, earlier years put Change in Inventory at $5,930 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 109.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | 330.00 Mn |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 1.23 Bn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 160.00 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | -80.00 Mn |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 55.00 Mn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 156.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | -26.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 31.00 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | -28,766.00 |
| Jun 30, 2013 | -930.00 |
| Mar 31, 2013 | 765.00 |
| Dec 31, 2012 | -2,250.00 |
| Sep 30, 2012 | -21,548.00 |
| Jun 30, 2012 | -50,623.00 |
| Mar 31, 2012 | -372.00 |
| Dec 31, 2011 | 47,920.00 |
| Sep 30, 2011 | -165,546.00 |
| Jun 30, 2011 | 421.00 |
| Mar 31, 2011 | -498,495.00 |
| Sep 30, 2010 | -43,911.00 |
API Access
Applied Energetics Change in 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=change-in-inventory&ticker=AERG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-inventory&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();