Elbit Systems (ESLT) Times Interest Earned (2009 - 2018)
Elbit Systems' (ESLT) Times Interest Earned stood at 5.51 in the quarter ended Sep 30, 2019, down 43.2% from 9.71 a year earlier but up 39.5% from the prior quarter.
Elbit Systems (ESLT) Times Interest Earned (2009 - 2018) Analysis & Trends
On a TTM basis, Elbit Systems' Times Interest Earned came in at 4.39 as of Sep 30, 2019; for the year ended Dec 31, 2018, it came in at 6.65.
- Quarterly Times Interest Earned has ranged from 2.59 in the quarter ended Dec 31, 2018 to 10.41 in the quarter ended Jun 30, 2018 over the past five years.
- On a year-over-year basis, Times Interest Earned has declined for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at 3.95 (quarter ended Jun 30, 2019), 5.46 (quarter ended Mar 31, 2019) and 2.59 (quarter ended Dec 31, 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 305.96 Bn | 264.47 Bn | 5.02 Bn | -29.10 |
| 2 | Rtx | 258.78 Bn | 227.05 Bn | 5.81 Bn | - |
| 3 | Boeing | 152.08 Bn | 58.77 Bn | 2.41 Bn | 0.26 |
| 4 | Lockheed Martin | 127.01 Bn | 113.73 Bn | 2.45 Bn | 9.32 |
| 5 | General Dynamics | 93.41 Bn | 80.52 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 83.06 Bn | 78.66 Bn | 951.00 Mn | - |
| 7 | Motorola Solutions | 77.59 Bn | 73.94 Bn | 1.68 Bn | 7.42 |
| 8 | Northrop Grumman | 76.72 Bn | 64.17 Bn | 2.35 Bn | 8.03 |
| 9 | Honeywell International | 68.15 Bn | 20.27 Bn | 3.65 Bn | 4.92 |
| 10 | Elbit Systems | 33.98 Bn | 30.54 Bn | 579.01 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 2.59 |
| Mar 31, 2010 | 15.87 |
| Mar 31, 2009 | 4.03 |
Elbit Systems Times Interest Earned 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=times-interest-earned&ticker=ESLT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=ESLT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();