Brp (DOO) EBIT (2017 - 2026)
Brp's EBIT came in at -$35.86 million for the quarter ended Jul 31, 2026, compared with $65.79 million a year earlier.
Brp (DOO) EBIT (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Brp reported EBIT of $283.7 million, down 7.6% year-over-year; for the year ended Jan 31, 2026, it came in at $286.87 million, down 28.7% from the prior year.
- EBIT has declined in each of the last three years, with a five-year compound annual growth rate of -3.8% (years ended Jan 2021 to Jan 2026).
- Going back by year, EBIT was $402.49 million in the year ended Jan 31, 2025 (-61.4%), $1.04 billion in the year ended Jan 31, 2024 (-0.3%), $1.05 billion in the year ended Jan 31, 2023 (+10.4%) and $947.72 million in the year ended Jan 31, 2022 (+172.1%).
- The figure for the quarter ended Jul 31, 2026 represents the lowest quarterly EBIT since the quarter ended Apr 30, 2020.
- Year-over-year, EBIT increased in two of the last seven quarters, with an average decline of 15.0%.
- The fastest year-over-year change in EBIT over five years came in the quarter ended Apr 30, 2026 (growth of 149.3%), and the weakest in the quarter ended Jan 31, 2026 (a decline of 87.7%).
- Business Quant data shows DOO's EBIT at $164.5 million (quarter ended Apr 30, 2026), $9.01 million (quarter ended Jan 31, 2026) and $146.05 million (quarter ended Oct 31, 2025) in the three quarters before the quarter ended Jul 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 398.00 Mn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 703.29 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 3.60 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 638.00 Mn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 3.33 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 6.67 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 1.34 Bn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | -836.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 815.98 Mn |
| 10 | Brp | 4.09 Bn | 2.46 Bn | 188.27 Mn | -35.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -35.86 Mn |
| Apr 30, 2026 | 164.50 Mn |
| Jan 31, 2026 | 9.01 Mn |
| Oct 31, 2025 | 146.05 Mn |
| Jul 31, 2025 | 65.79 Mn |
| Apr 30, 2025 | 65.99 Mn |
| Jan 31, 2025 | 73.33 Mn |
| Oct 31, 2024 | 102.01 Mn |
| Jul 31, 2024 | 88.08 Mn |
| Apr 30, 2024 | 140.35 Mn |
| Jan 31, 2024 | 244.33 Mn |
| Oct 31, 2023 | 263.65 Mn |
| Jul 31, 2023 | 283.80 Mn |
| Apr 30, 2023 | 208.34 Mn |
| Jan 31, 2023 | 323.92 Mn |
| Oct 31, 2022 | 289.71 Mn |
| Jul 31, 2022 | 268.87 Mn |
| Apr 30, 2022 | 157.60 Mn |
| Jan 31, 2022 | 273.84 Mn |
| Oct 31, 2021 | 147.55 Mn |
Brp EBIT 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=ebit&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();