L3Harris Technologies (LHX) Interest Expenses (2009 - 2024)
Powered by 
Analysis
L3Harris Technologies (LHX) Interest Expenses (2009 - 2024) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 334.86 Bn | 293.38 Bn | 5.02 Bn | 231.00 Mn |
| 2 | Rtx | 256.39 Bn | 224.66 Bn | 5.81 Bn | - |
| 3 | Boeing | 137.52 Bn | 46.48 Bn | 2.17 Bn | 573.00 Mn |
| 4 | Lockheed Martin | 130.55 Bn | 114.79 Bn | 2.44 Bn | 264.00 Mn |
| 5 | General Dynamics | 95.65 Bn | 80.88 Bn | 2.25 Bn | - |
| 6 | Motorola Solutions | 85.05 Bn | 81.51 Bn | 1.77 Bn | 116.00 Mn |
| 7 | Howmet Aerospace | 81.91 Bn | 77.67 Bn | 1.00 Bn | - |
| 8 | Northrop Grumman | 74.74 Bn | 62.20 Bn | 2.35 Bn | 158.00 Mn |
| 9 | Honeywell International | 69.91 Bn | 29.43 Bn | 2.02 Bn | 143.00 Mn |
| 10 | L3Harris Technologies | 48.45 Bn | 42.25 Bn | 1.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2024 | 166.00 Mn |
| Sep 29, 2023 | 159.00 Mn |
| Apr 2, 2021 | 69.00 Mn |
| Jan 1, 2021 | 68.00 Mn |
| Oct 2, 2020 | 66.00 Mn |
| Jul 3, 2020 | 68.00 Mn |
| Apr 3, 2020 | 68.00 Mn |
| Sep 27, 2019 | 67.00 Mn |
| Jun 28, 2019 | 39.00 Mn |
| Mar 29, 2019 | 43.00 Mn |
| Dec 28, 2018 | 43.00 Mn |
| Sep 28, 2018 | 44.00 Mn |
| Jun 29, 2018 | 46.00 Mn |
| Mar 30, 2018 | 41.00 Mn |
| Dec 29, 2017 | 42.00 Mn |
| Sep 29, 2017 | 41.00 Mn |
| Jun 30, 2017 | 42.00 Mn |
| Mar 31, 2017 | 42.00 Mn |
| Dec 30, 2016 | 44.00 Mn |
| Sep 30, 2016 | 44.00 Mn |
API Access
L3Harris Technologies 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=LHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "LHX", "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=LHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();