Bruker (BRKR) Gains from Sales and Divestitures (2010 - 2024)
Bruker's Gains from Sales and Divestitures came in at -$2.1 million for Q4 2024, compared with -$900,000 a year earlier.
Analysis
Bruker (BRKR) Gains from Sales and Divestitures (2010 - 2024) Analysis & Trends
For FY2024, Bruker's Gains from Sales and Divestitures was -$4.6 million.
- Going back by year, Gains from Sales and Divestitures was $8.5 million in FY2023 (-15.8%), $10.1 million in FY2022 (+818.2%) and $1.1 million in FY2021.
- The Q4 2024 figure represents the lowest quarterly Gains from Sales and Divestitures since Q3 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Bruker | 9.63 Bn | 8.76 Bn | 416.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -2.10 Mn |
| Sep 30, 2024 | -1.70 Mn |
| Jun 30, 2024 | -800,000.00 |
| Dec 31, 2023 | -900,000.00 |
| Sep 30, 2023 | -200,000.00 |
| Jun 30, 2023 | -200,000.00 |
| Mar 31, 2023 | 9.80 Mn |
| Dec 31, 2022 | 10.10 Mn |
| Sep 30, 2022 | -11.20 Mn |
| Jun 30, 2022 | 500,000.00 |
| Mar 31, 2022 | 10.70 Mn |
| Jun 30, 2015 | -200,000.00 |
| Dec 31, 2014 | -700,000.00 |
| Sep 30, 2014 | 8.70 Mn |
| Mar 31, 2014 | 300,000.00 |
| Sep 30, 2012 | 2.20 Mn |
| Jun 30, 2010 | -1.00 Mn |
API Access
Bruker Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=BRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "ticker": "BRKR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=gains-from-sales-and-divestitures&ticker=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();