Bruker (BRKR) EBITDA (2010 - 2026)
Bruker (BRKR) recorded EBITDA of -$7.3 million in Q2 2026, compared with $68 million a year earlier.
Bruker (BRKR) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Bruker's EBITDA came in at $199.5 million as of Jun 30, 2026, down 49.4% year-over-year; for FY2025, it came in at $288.5 million, down 34.0% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of -2.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $436.9 million in FY2024 (-20.8%), $551.8 million in FY2023 (+5.8%), $521.5 million in FY2022 (+3.8%) and $502.4 million in FY2021 (+52.8%).
- The Q2 2026 figure is the lowest quarterly EBITDA in data going back to Q1 2010.
- On a year-over-year basis, EBITDA rose in 1 of the last seven quarters, with an average decline of 26.1%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 33.1% in Q3 2021, against a decline of 96.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $68.5 million (Q1 2026), $134.4 million (Q4 2025) and $3.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Bruker | 9.64 Bn | 8.77 Bn | 416.00 Mn | -7.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.30 Mn |
| Mar 31, 2026 | 68.50 Mn |
| Dec 31, 2025 | 134.40 Mn |
| Sep 30, 2025 | 3.90 Mn |
| Jun 30, 2025 | 68.00 Mn |
| Mar 31, 2025 | 82.20 Mn |
| Dec 31, 2024 | 125.00 Mn |
| Sep 30, 2024 | 119.10 Mn |
| Jun 30, 2024 | 93.20 Mn |
| Mar 31, 2024 | 99.50 Mn |
| Dec 31, 2023 | 140.80 Mn |
| Sep 30, 2023 | 151.10 Mn |
| Jun 30, 2023 | 112.10 Mn |
| Mar 31, 2023 | 147.80 Mn |
| Dec 31, 2022 | 155.50 Mn |
| Sep 30, 2022 | 152.30 Mn |
| Jun 30, 2022 | 95.50 Mn |
| Mar 31, 2022 | 118.20 Mn |
| Dec 31, 2021 | 148.40 Mn |
| Sep 30, 2021 | 135.40 Mn |
Bruker EBITDA 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=ebitda&ticker=BRKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BRKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();