Brp (DOO) Operating Expenses (2017 - 2026)
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Analysis
Brp (DOO) Operating Expenses (2017 - 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 | Brp | 4.83 Bn | 3.19 Bn | 188.27 Mn | 224.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 224.13 Mn |
| Apr 30, 2026 | 245.19 Mn |
| Jan 31, 2026 | 389.90 Mn |
| Oct 31, 2025 | 244.09 Mn |
| Jul 31, 2025 | 223.65 Mn |
| Apr 30, 2025 | 211.45 Mn |
| Jan 31, 2025 | 223.80 Mn |
| Oct 31, 2024 | 216.61 Mn |
| Jul 31, 2024 | 203.54 Mn |
| Apr 30, 2024 | 244.41 Mn |
| Jan 31, 2024 | 244.26 Mn |
| Oct 31, 2023 | 210.55 Mn |
| Jul 31, 2023 | 238.85 Mn |
| Apr 30, 2023 | 252.46 Mn |
| Jan 31, 2023 | 260.01 Mn |
| Oct 31, 2022 | 203.21 Mn |
| Jul 31, 2022 | 199.75 Mn |
| Apr 30, 2022 | 201.18 Mn |
| Jan 31, 2022 | 207.71 Mn |
| Oct 31, 2021 | 179.05 Mn |
API Access
Brp 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=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DOO", "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=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();