Bruker (BRKR) Pension (2010 - 2025)
Bruker (BRKR) reported Pension of $99.7 million for Q4 2025, down 3.2% from $103 million a year earlier.
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Analysis
Bruker (BRKR) Pension (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, Bruker's Pension record includes 19 quarters.
- Pension has a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- By year, Pension came in at $103 million in FY2024 (+34.5%), $76.6 million in FY2023 (+67.6%), $45.7 million in FY2022 (-56.4%) and $104.7 million in FY2021 (-15.2%).
- The Q4 2025 figure ranks as the lowest quarterly Pension since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn |
| 10 | Bruker | 9.02 Bn | 8.11 Bn | 416.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 99.70 Mn |
| Dec 31, 2024 | 103.00 Mn |
| Sep 30, 2024 | 83.80 Mn |
| Jun 30, 2024 | 79.60 Mn |
| Mar 31, 2024 | 76.00 Mn |
| Dec 31, 2023 | 76.60 Mn |
| Dec 31, 2022 | 45.70 Mn |
| Dec 31, 2021 | 104.70 Mn |
| Dec 31, 2020 | 123.40 Mn |
| Dec 31, 2019 | 122.40 Mn |
| Dec 31, 2018 | 90.50 Mn |
| Dec 31, 2017 | 105.60 Mn |
| Dec 31, 2016 | 102.50 Mn |
| Dec 31, 2015 | 91.60 Mn |
| Dec 31, 2014 | 66.20 Mn |
| Dec 31, 2013 | 40.50 Mn |
| Dec 31, 2012 | 60.00 Mn |
| Dec 31, 2011 | 39.20 Mn |
| Dec 31, 2010 | 39.40 Mn |
API Access
Bruker Pension 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=pension&ticker=BRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();