Brp (DOO) Intangibles (2017 - 2026)
Brp's Intangibles was $355.22 million in the quarter ended Jul 31, 2026, down 21.7% from $453.81 million a year earlier and down 2.4% from the prior quarter.
Brp (DOO) Intangibles (2017 - 2026) Analysis & Trends
As of Jan 31, 2026, Intangibles at Brp came in at $366.81 million, down 12.0% from the prior year.
- Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.2% (years ended Jan 2021 to Jan 2026).
- In earlier years, Intangibles was $416.61 million in the year ended Jan 31, 2025 (-16.1%), $496.28 million in the year ended Jan 31, 2024 (-10.4%), $553.88 million in the year ended Jan 31, 2023 (+42.8%) and $387.88 million in the year ended Jan 31, 2022 (+7.0%).
- The figure for the quarter ended Jul 31, 2026 marks the lowest quarterly Intangibles since the quarter ended Oct 31, 2020.
- Compared with a year earlier, Intangibles has declined for three straight quarters, with an average decline of 12.1% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was the quarter ended Jan 31, 2023 (growth of 42.8%); the worst was the quarter ended Jul 31, 2026 (a decline of 21.7%).
- Per Business Quant data, DOO's Intangibles in the three quarters before the quarter ended Jul 31, 2026 was $363.83 million (quarter ended Apr 30, 2026), $366.81 million (quarter ended Jan 31, 2026) and $450.11 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 962.00 Mn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.95 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | - |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | - |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | - |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | - |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 407.00 Mn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 171.78 Mn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 18.19 Bn |
| 10 | Brp | 4.83 Bn | 3.19 Bn | 188.27 Mn | 355.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 355.22 Mn |
| Apr 30, 2026 | 363.83 Mn |
| Jan 31, 2026 | 366.81 Mn |
| Oct 31, 2025 | 450.11 Mn |
| Jul 31, 2025 | 453.81 Mn |
| Apr 30, 2025 | 437.85 Mn |
| Jan 31, 2025 | 416.61 Mn |
| Oct 31, 2024 | 435.36 Mn |
| Jan 31, 2024 | 496.28 Mn |
| Oct 31, 2023 | 531.80 Mn |
| Jul 31, 2023 | 553.47 Mn |
| Apr 30, 2023 | 543.17 Mn |
| Jan 31, 2023 | 553.88 Mn |
| Oct 31, 2022 | 540.41 Mn |
| Jul 31, 2022 | 402.28 Mn |
| Apr 30, 2022 | 394.70 Mn |
| Jan 31, 2022 | 387.88 Mn |
| Oct 31, 2021 | 389.03 Mn |
| Jul 31, 2021 | 374.40 Mn |
| Apr 30, 2021 | 378.13 Mn |
Brp Intangibles 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=intangibles&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();