Brp (DOO) EBITDA (2018 - 2026)
Brp (DOO) posted EBITDA of $45.11 million for the quarter ended Jul 31, 2026, down 69.5% from $148.03 million a year earlier and down 81.5% from the prior quarter.
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Analysis
Brp (DOO) EBITDA (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EBITDA at Brp was $612.91 million, down 1.1% year-over-year; for the year ended Jan 31, 2026, it was $612.82 million, down 14.0% from the prior year.
- Annual EBITDA shows a five-year compound annual growth rate of 2.4% (years ended Jan 2021 to Jan 2026).
- In prior years, Brp's EBITDA was $712.98 million in the year ended Jan 31, 2025 (-46.5%), $1.33 billion in the year ended Jan 31, 2024 (+3.9%), $1.28 billion in the year ended Jan 31, 2023 (+10.1%) and $1.17 billion in the year ended Jan 31, 2022 (+114.6%).
- The figure for the quarter ended Jul 31, 2026 stands as the lowest quarterly EBITDA since the quarter ended Apr 30, 2020.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with an average decline of 19.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was the quarter ended Apr 30, 2026, with growth of 73.2%; the weakest was the quarter ended Jul 31, 2026, with a decline of 69.5%.
- According to Business Quant data, EBITDA for the three prior quarters was $243.87 million (quarter ended Apr 30, 2026), $92.95 million (quarter ended Jan 31, 2026) and $230.97 million (quarter ended Oct 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 2.02 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 878.33 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 4.80 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | 2.50 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | 4.42 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 10.70 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | -599.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 2.67 Bn |
| 10 | Brp | 4.09 Bn | 2.46 Bn | 188.27 Mn | 45.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 45.11 Mn |
| Apr 30, 2026 | 243.87 Mn |
| Jan 31, 2026 | 92.95 Mn |
| Oct 31, 2025 | 230.97 Mn |
| Jul 31, 2025 | 148.03 Mn |
| Apr 30, 2025 | 140.83 Mn |
| Jan 31, 2025 | 146.03 Mn |
| Oct 31, 2024 | 182.12 Mn |
| Jul 31, 2024 | 166.22 Mn |
| Apr 30, 2024 | 216.83 Mn |
| Jan 31, 2024 | 314.83 Mn |
| Oct 31, 2023 | 337.77 Mn |
| Jul 31, 2023 | 355.50 Mn |
| Apr 30, 2023 | 276.63 Mn |
| Jan 31, 2023 | 388.71 Mn |
| Oct 31, 2022 | 347.16 Mn |
| Jul 31, 2022 | 325.47 Mn |
| Apr 30, 2022 | 213.89 Mn |
| Jan 31, 2022 | 331.91 Mn |
| Oct 31, 2021 | 201.17 Mn |
API Access
Brp 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=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();