Qiagen (QGEN) Net of Acquisitions & Divestments (2009 - 2025)
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Analysis
Qiagen (QGEN) Net of Acquisitions & Divestments (2009 - 2025) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | -164.00 Mn |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | -1.16 Bn |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | -437.00 Mn |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | -195.00 Mn |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | -22.00 Mn |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | -7.10 Mn |
| 10 | Qiagen | 10.11 Bn | 5.88 Bn | 340.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -357.82 Mn |
| Dec 31, 2023 | -299.06 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | 148.38 Mn |
| Dec 31, 2022 | -127.30 Mn |
| Dec 31, 2020 | -479.14 Mn |
| Sep 30, 2020 | 239.44 Mn |
| Mar 31, 2020 | 133,000.00 |
| Dec 31, 2019 | -135.97 Mn |
| Sep 30, 2019 | 43.54 Mn |
| Mar 31, 2019 | 24.37 Mn |
| Dec 31, 2018 | -345.66 Mn |
| Dec 31, 2017 | -101.10 Mn |
| Sep 30, 2017 | 871,000.00 |
| Mar 31, 2017 | 49.68 Mn |
| Dec 31, 2016 | -180.98 Mn |
| Dec 31, 2015 | -74.03 Mn |
| Jun 30, 2015 | -1,000.00 |
| Mar 31, 2015 | 7.10 Mn |
| Dec 31, 2014 | -202.15 Mn |
API Access
Qiagen Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=QGEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "QGEN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-of-acquisitions-and-divestments&ticker=QGEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();