Bio-Rad Laboratories (BIO) Net of Acquisitions & Divestments (2009 - 2025)
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Analysis
Bio-Rad Laboratories (BIO) 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 | 249.17 Bn | 228.32 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | -164.00 Mn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 9.60 Mn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | -1.16 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | -437.00 Mn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | -195.00 Mn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | -22.00 Mn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | -7.10 Mn |
| 10 | Bio-Rad Laboratories | 9.90 Bn | 3.75 Bn | 345.80 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | -1.80 Mn |
| Dec 31, 2023 | 2.50 Mn |
| Dec 31, 2022 | 86,000.00 |
| Dec 31, 2021 | -125.52 Mn |
| Sep 30, 2020 | 234,000.00 |
| Jun 30, 2020 | -84.69 Mn |
| Dec 31, 2019 | -3.58 Mn |
| Sep 30, 2019 | -59.73 Mn |
| Mar 31, 2019 | -16.08 Mn |
| Dec 31, 2014 | -982,000.00 |
| Sep 30, 2014 | -1.64 Mn |
| Jun 30, 2014 | -40.65 Mn |
| Mar 31, 2014 | -1.36 Mn |
| Dec 31, 2013 | -3.54 Mn |
| Sep 30, 2013 | -2.63 Mn |
| Jun 30, 2013 | -1.83 Mn |
| Mar 31, 2013 | -64.06 Mn |
| Dec 31, 2012 | -964,000.00 |
| Sep 30, 2012 | -19.89 Mn |
| Jun 30, 2012 | -3.26 Mn |
API Access
Bio-Rad Laboratories 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=BIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "ticker": "BIO", "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=BIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();