Brunswick (BC) Operating Expenses (2009 - 2026)
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Analysis
Brunswick (BC) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 4.78 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 489.24 Mn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 46.42 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 48.07 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 77.31 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 1.06 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 266.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 757.09 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 4.25 Bn |
| 10 | Brunswick | 5.05 Bn | 3.85 Bn | 411.80 Mn | 307.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 307.80 Mn |
| Jul 4, 2026 | 308.40 Mn |
| Apr 4, 2026 | 293.30 Mn |
| Dec 31, 2025 | 265.90 Mn |
| Sep 27, 2025 | 593.00 Mn |
| Jun 28, 2025 | 266.40 Mn |
| Mar 29, 2025 | 247.60 Mn |
| Dec 31, 2024 | 308.90 Mn |
| Sep 28, 2024 | 234.60 Mn |
| Jun 29, 2024 | 232.70 Mn |
| Mar 30, 2024 | 263.00 Mn |
| Dec 31, 2023 | 256.10 Mn |
| Sep 30, 2023 | 248.60 Mn |
| Jul 1, 2023 | 277.90 Mn |
| Apr 1, 2023 | 269.50 Mn |
| Dec 31, 2022 | 236.70 Mn |
| Oct 1, 2022 | 261.20 Mn |
| Jul 2, 2022 | 257.40 Mn |
| Apr 2, 2022 | 244.10 Mn |
| Dec 31, 2021 | 254.90 Mn |
API Access
Brunswick 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=BC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();