Bruker (BRKR) Operating Leases (2019 - 2025)
Bruker (BRKR) reported Operating Leases of $138.6 million for Q4 2025, up 16.6% from $118.9 million a year earlier.
Analysis
Bruker (BRKR) Operating Leases (2019 - 2025) Analysis & Trends
Dating back to Q1 2019, Bruker's Operating Leases record includes 16 quarters.
- Operating Leases has increased for three consecutive years, with a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- By year, Operating Leases came in at $118.9 million in FY2024 (+59.0%), $74.8 million in FY2023 (+114.9%), $34.8 million in FY2022 (-16.7%) and $41.8 million in FY2021 (-11.1%).
- The Q4 2025 figure ranks as the highest quarterly Operating Leases in data going back to Q1 2019.
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 | 138.60 Mn |
| Dec 31, 2024 | 118.90 Mn |
| Sep 30, 2024 | 120.50 Mn |
| Jun 30, 2024 | 111.30 Mn |
| Mar 31, 2024 | 85.70 Mn |
| Dec 31, 2023 | 74.80 Mn |
| Dec 31, 2022 | 34.80 Mn |
| Dec 31, 2021 | 41.80 Mn |
| Dec 31, 2020 | 47.00 Mn |
| Sep 30, 2020 | 42.10 Mn |
| Jun 30, 2020 | 42.40 Mn |
| Mar 31, 2020 | 44.30 Mn |
| Dec 31, 2019 | 47.00 Mn |
| Sep 30, 2019 | 50.70 Mn |
| Jun 30, 2019 | 55.40 Mn |
| Mar 31, 2019 | 58.30 Mn |
API Access
Bruker Operating Leases 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-leases&ticker=BRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();