Applied Energetics (AERG) Non Operating Interest Expenses (2011 - 2023)
Applied Energetics (AERG) recorded Non Operating Interest Expenses of $1,908 in Q3 2023, up 55.5% from $1,227 a year earlier but down 0.1% from the prior quarter.
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Analysis
Applied Energetics (AERG) Non Operating Interest Expenses (2011 - 2023) Analysis & Trends
On a TTM basis, Applied Energetics' Non Operating Interest Expenses came in at $5,044 as of Sep 30, 2023, up 311.1% year-over-year; for FY2012, it was $1,651, down 60.3% from FY2011.
- Across earlier years, Non Operating Interest Expenses came in at $4,156 in FY2011 (-22.7%) and $5,374 in FY2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 215.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | - |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | 266.00 Mn |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | 161.00 Mn |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Applied Energetics | 196.56 Mn | 183.54 Mn | 40,430.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 1,908.00 |
| Jun 30, 2023 | 1,909.00 |
| Sep 30, 2022 | 1,227.00 |
| Mar 31, 2012 | 1,651.00 |
| Dec 31, 2011 | 424.00 |
| Sep 30, 2011 | 1,392.00 |
| Jun 30, 2011 | 928.00 |
| Mar 31, 2011 | 1,411.00 |
API Access
Applied Energetics Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=AERG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();