Brp (DOO) Other Operating Expenses (2017 - 2026)
Brp's Other Operating Expenses came in at -$1.58 million for the quarter ended Jul 31, 2026, compared with $1.46 million a year earlier.
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Analysis
Brp (DOO) Other Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Brp reported Other Operating Expenses of -$20.75 million; for the year ended Jan 31, 2026, it came in at -$9.12 million.
- Going back by year, Other Operating Expenses was $49.3 million in the year ended Jan 31, 2025 (+177.1%), $17.79 million in the year ended Jan 31, 2024 (+125.7%), $7.88 million in the year ended Jan 31, 2023 and -$7.58 million in the year ended Jan 31, 2022.
- The five-year range for quarterly Other Operating Expenses is -$20.61 million (the quarter ended Jan 31, 2026) to $78.14 million (the quarter ended Jul 31, 2022).
- Year-over-year, Other Operating Expenses increased in two of the last five quarters, with growth averaging 210.5%.
- The fastest year-over-year change in Other Operating Expenses over five years came in the quarter ended Jan 31, 2025 (growth of 903.1%), and the weakest in the quarter ended Jul 31, 2023 (a decline of 95.0%).
- Business Quant data shows DOO's Other Operating Expenses at -$875,407 (quarter ended Apr 30, 2026), -$20.61 million (quarter ended Jan 31, 2026) and $2.31 million (quarter ended Oct 31, 2025) in the three quarters before the quarter ended Jul 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,212.52 Bn | 1,047.07 Bn | 4.75 Bn |
| 2 | Ferrari | 147.55 Bn | 140.05 Bn | 1.18 Bn |
| 3 | General Motors | 65.56 Bn | -37.34 Bn | 9.28 Bn |
| 4 | Honda Motor | 52.27 Bn | -95.89 Bn | 8.46 Bn |
| 5 | Ford Motor | 46.77 Bn | -95.70 Bn | 6.08 Bn |
| 6 | Toyota Motor | 25.49 Bn | -375.32 Bn | 20.95 Bn |
| 7 | Magna International | 18.13 Bn | 12.50 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 16.43 Bn | -6.86 Bn | 179.00 Mn |
| 9 | Stellantis | 12.34 Bn | -151.78 Bn | 5.55 Bn |
| 10 | Brp | 4.28 Bn | 2.65 Bn | 188.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -1.58 Mn |
| Apr 30, 2026 | -875,407.23 |
| Jan 31, 2026 | -2.31 Mn |
| Oct 31, 2025 | 2.31 Mn |
| Jul 31, 2025 | 1.46 Mn |
| Apr 30, 2025 | 7.45 Mn |
| Jan 31, 2025 | -84.53 Mn |
| Oct 31, 2024 | 16.48 Mn |
| Jul 31, 2024 | 10.15 Mn |
| Apr 30, 2024 | 11.43 Mn |
| Jan 31, 2024 | -34.40 Mn |
| Oct 31, 2023 | 3.61 Mn |
| Jul 31, 2023 | 3.90 Mn |
| Apr 30, 2023 | 10.05 Mn |
| Jan 31, 2023 | -7.34 Mn |
| Oct 31, 2022 | 828,184.97 |
| Jul 31, 2022 | 1.71 Mn |
| Apr 30, 2022 | -2.92 Mn |
| Jan 31, 2022 | -5.06 Mn |
| Oct 31, 2021 | -6.76 Mn |
API Access
Brp Other 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=other-operating-expenses&ticker=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();