L3Harris Technologies (LHX) Acquisitions (2009 - 2023)
L3Harris Technologies' Acquisitions came in at $6.69 billion for FY2023.
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Analysis
L3Harris Technologies (LHX) Acquisitions (2009 - 2023) Analysis & Trends
Going back to FY2009, L3Harris Technologies' Acquisitions data covers 7 years.
- Acquisitions carries a three-year compound annual growth rate of 80.9% (FY2020 to FY2023).
- The FY2023 figure represents the highest annual Acquisitions in data going back to FY2009.
- Per Business Quant, earlier years put Acquisitions at $1.13 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 324.11 Bn | 277.88 Bn | 4.68 Bn | 1.00 Mn |
| 2 | Rtx | 259.48 Bn | 230.96 Bn | 5.13 Bn | - |
| 3 | Boeing | 151.52 Bn | 58.21 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 126.52 Bn | 113.24 Bn | 2.45 Bn | - |
| 5 | General Dynamics | 92.31 Bn | 79.43 Bn | 2.18 Bn | - |
| 6 | Howmet Aerospace | 88.22 Bn | 83.82 Bn | 951.00 Mn | 1.81 Bn |
| 7 | Motorola Solutions | 76.09 Bn | 72.44 Bn | 1.68 Bn | 100.00 Mn |
| 8 | Northrop Grumman | 72.54 Bn | 61.78 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 18.72 Bn | 3.65 Bn | 23.00 Mn |
| 10 | L3Harris Technologies | 45.44 Bn | 41.92 Bn | 1.50 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 29, 2023 | 4.72 Bn |
| Mar 31, 2023 | 1.97 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Oct 1, 2021 | -168.00 Mn |
| Sep 27, 2019 | -1.13 Bn |
| Jun 29, 2012 | 100,000.00 |
| Dec 30, 2011 | 14.00 Mn |
| Jul 1, 2011 | 534.20 Mn |
| Apr 1, 2011 | 30.40 Mn |
| Oct 1, 2010 | 518.00 Mn |
| Jul 2, 2010 | 11.90 Mn |
| Apr 2, 2010 | 6.50 Mn |
| Jan 1, 2010 | 34.70 Mn |
| Oct 2, 2009 | -1.00 Mn |
| Jul 3, 2009 | 736.20 Mn |
| Apr 3, 2009 | 9.10 Mn |
API Access
L3Harris Technologies Acquisitions 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=acquisitions&ticker=LHX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=LHX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();