Brunswick (BC) EBITDA (2009 - 2026)
Brunswick's EBITDA came in at $203 million for Q2 2026, up 15.1% from $176.4 million a year earlier and up 62.1% from the prior quarter.
Brunswick (BC) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 4, 2026, Brunswick reported EBITDA of $277.2 million, down 43.9% year-over-year; for FY2025, it was $251.8 million, down 58.1% from FY2024.
- EBITDA has declined in each of the last three years, with a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $600.4 million in FY2024 (-40.4%), $1.01 billion in FY2023 (-14.5%), $1.18 billion in FY2022 (+19.0%) and $991 million in FY2021 (+43.1%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q2 2024.
- Year-over-year, EBITDA increased in two of the last seven quarters, with growth averaging 42.1%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2025 (growth of 456.9%), and the weakest in Q4 2024 (a decline of 88.3%).
- Business Quant data shows BC's EBITDA at $125.2 million (Q1 2026), $117.5 million (Q4 2025) and -$168.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 2.57 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 865.68 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 5.24 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 3.04 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 11.14 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | -630.00 Mn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | - |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 1.43 Bn |
| 10 | Brunswick | 5.05 Bn | 3.85 Bn | 411.80 Mn | 176.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 176.70 Mn |
| Jul 4, 2026 | 203.00 Mn |
| Apr 4, 2026 | 125.20 Mn |
| Dec 31, 2025 | 117.50 Mn |
| Sep 27, 2025 | -168.50 Mn |
| Jun 28, 2025 | 176.40 Mn |
| Mar 29, 2025 | 126.40 Mn |
| Dec 31, 2024 | 21.10 Mn |
| Sep 28, 2024 | 170.60 Mn |
| Jun 29, 2024 | 228.70 Mn |
| Mar 30, 2024 | 180.00 Mn |
| Dec 31, 2023 | 179.80 Mn |
| Sep 30, 2023 | 265.40 Mn |
| Jul 1, 2023 | 261.80 Mn |
| Apr 1, 2023 | 300.80 Mn |
| Dec 31, 2022 | 254.90 Mn |
| Oct 1, 2022 | 299.50 Mn |
| Jul 2, 2022 | 331.50 Mn |
| Apr 2, 2022 | 293.10 Mn |
| Dec 31, 2021 | 172.00 Mn |
Brunswick 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=BC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "BC", "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=BC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();