Bruker (BRKR) Operating Expenses (2010 - 2026)
Bruker (BRKR) posted Operating Expenses of $481.3 million for Q2 2026, up 39.1% from $346 million a year earlier and up 30.2% from the prior quarter.
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Analysis
Bruker (BRKR) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Bruker was $1.66 billion, up 12.0% year-over-year; for FY2025, it was $1.51 billion, up 8.1% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 16.9% (FY2020 to FY2025).
- In prior years, Bruker's Operating Expenses was $1.4 billion in FY2024 (+29.7%), $1.08 billion in FY2023 (+23.3%), $873 million in FY2022 (+9.6%) and $796.3 million in FY2021 (+15.2%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2010.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 18.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 39.1%; the weakest was Q4 2025, with a decline of 11.5%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $369.6 million (Q1 2026), $372.9 million (Q4 2025) and $431.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Bruker | 9.64 Bn | 8.77 Bn | 416.00 Mn | 481.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 481.30 Mn |
| Mar 31, 2026 | 369.60 Mn |
| Dec 31, 2025 | 372.90 Mn |
| Sep 30, 2025 | 431.20 Mn |
| Jun 30, 2025 | 346.00 Mn |
| Mar 31, 2025 | 359.40 Mn |
| Dec 31, 2024 | 421.20 Mn |
| Sep 30, 2024 | 350.70 Mn |
| Jun 30, 2024 | 336.50 Mn |
| Mar 31, 2024 | 288.00 Mn |
| Dec 31, 2023 | 326.80 Mn |
| Sep 30, 2023 | 258.30 Mn |
| Jun 30, 2023 | 254.30 Mn |
| Mar 31, 2023 | 237.00 Mn |
| Dec 31, 2022 | 234.90 Mn |
| Sep 30, 2022 | 204.00 Mn |
| Jun 30, 2022 | 224.30 Mn |
| Mar 31, 2022 | 209.80 Mn |
| Dec 31, 2021 | 216.20 Mn |
| Sep 30, 2021 | 195.50 Mn |
API Access
Bruker Operating Expenses 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=operating-expenses&ticker=BRKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();