Boeing (BA) Acquisitions (2009 - 2023)
Boeing's Acquisitions was $1.25 billion in FY2025, compared with $50 million in FY2024.
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Analysis
Boeing (BA) Acquisitions (2009 - 2023) Analysis & Trends
From FY2009 onward, Boeing has reported Acquisitions for 15 years.
- Acquisitions shows a four-year compound annual growth rate of 279.8% (FY2021 to FY2025).
- The FY2025 figure marks the highest annual Acquisitions since FY2018.
- Per Business Quant data, Acquisitions in earlier years was $50 million in FY2024 (-28.6%), $70 million in FY2023 and $6 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 1.00 Mn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | - |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | - |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | - |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 1.81 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | - |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | - |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | - |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 23.00 Mn |
| 10 | TransDigm | 60.79 Bn | 48.88 Bn | 1.63 Bn | 2.16 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 51.00 Mn |
| Dec 31, 2019 | -37.00 Mn |
| Jun 30, 2019 | 216.00 Mn |
| Mar 31, 2019 | 276.00 Mn |
| Dec 31, 2018 | 2.98 Bn |
| Dec 31, 2015 | 8.00 Mn |
| Mar 31, 2013 | 26.00 Mn |
| Dec 31, 2012 | 106.00 Mn |
| Sep 30, 2011 | 26.00 Mn |
| Mar 31, 2011 | 16.00 Mn |
| Dec 31, 2010 | 65.00 Mn |
| Sep 30, 2010 | 843.00 Mn |
| Mar 31, 2010 | 24.00 Mn |
| Sep 30, 2009 | 592.00 Mn |
| Jun 30, 2009 | 17.00 Mn |
| Mar 31, 2009 | 30.00 Mn |
API Access
Boeing 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=BA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "ticker": "BA", "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=BA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();