Elbit Systems (ESLT) Interest Expenses (2009 - 2018)
Elbit Systems' Interest Expenses was -$18.46 million in the quarter ended Sep 30, 2019, compared with -$8.15 million a year earlier.
Elbit Systems (ESLT) Interest Expenses (2009 - 2018) Analysis & Trends
On a trailing twelve-month basis, Elbit Systems' Interest Expenses was -$67.63 million through Sep 30, 2019; for the year ended Dec 31, 2018, it was -$44.06 million.
- Quarterly Interest Expenses has moved between -$20.33 million (the quarter ended Jun 30, 2019) and -$8.15 million (the quarter ended Sep 30, 2018) over five years.
- Per Business Quant data, ESLT's Interest Expenses in the three quarters before the quarter ended Sep 30, 2019 was -$20.33 million (quarter ended Jun 30, 2019), -$13.93 million (quarter ended Mar 31, 2019) and -$14.92 million (quarter ended Dec 31, 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 310.89 Bn | 269.41 Bn | 5.02 Bn | 231.00 Mn |
| 2 | Rtx | 256.80 Bn | 225.07 Bn | 5.81 Bn | - |
| 3 | Boeing | 152.40 Bn | 59.09 Bn | 2.41 Bn | 600.00 Mn |
| 4 | Lockheed Martin | 126.38 Bn | 113.11 Bn | 2.45 Bn | 266.00 Mn |
| 5 | General Dynamics | 93.38 Bn | 80.50 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 82.61 Bn | 78.21 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 77.36 Bn | 73.71 Bn | 1.68 Bn | 109.00 Mn |
| 8 | Northrop Grumman | 76.75 Bn | 64.20 Bn | 2.35 Bn | 158.00 Mn |
| 9 | Honeywell International | 67.95 Bn | 20.08 Bn | 3.65 Bn | 363.00 Mn |
| 10 | Elbit Systems | 34.10 Bn | 30.66 Bn | 579.01 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -14.90 Mn |
| Mar 31, 2010 | -3.10 Mn |
| Mar 31, 2009 | -19.00 Mn |
Elbit Systems 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=interest-expenses&ticker=ESLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "ESLT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=ESLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();