Brp (DOO) Tax Provisions (2017 - 2026)
Brp's Tax Provisions was -$22.23 million in the quarter ended Jul 31, 2026, compared with -$15.14 million a year earlier.
Brp (DOO) Tax Provisions (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Brp's Tax Provisions was $64.6 million through Jul 31, 2026, up 97.7% year-over-year; for the year ended Jan 31, 2026, it came in at $18.03 million, down 72.5% from the prior year.
- Tax Provisions has now declined for three consecutive years, with a five-year compound annual growth rate of -27.6% (years ended Jan 2021 to Jan 2026).
- In earlier years, Tax Provisions was $65.64 million in the year ended Jan 31, 2025 (-71.0%), $226.48 million in the year ended Jan 31, 2024 (-6.3%), $241.58 million in the year ended Jan 31, 2023 (+5.1%) and $229.86 million in the year ended Jan 31, 2022 (+153.1%).
- The figure for the quarter ended Jul 31, 2026 marks the lowest quarterly Tax Provisions in data going back to the quarter ended Oct 31, 2017.
- Compared with a year earlier, Tax Provisions was higher in two of the last six quarters, with growth averaging 30.0%.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Apr 30, 2026 (growth of 252.2%); the worst was the quarter ended Jan 31, 2025 (a decline of 76.8%).
- Per Business Quant data, DOO's Tax Provisions in the three quarters before the quarter ended Jul 31, 2026 was $34.65 million (quarter ended Apr 30, 2026), $30.19 million (quarter ended Jan 31, 2026) and $21.99 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn | 201.00 Mn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn | 160.68 Mn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn | 565.00 Mn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn | -711.00 Mn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn | -823.19 Mn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 2.59 Bn |
| 7 | Magna International | 17.95 Bn | 11.97 Bn | 1.61 Bn | 120.00 Mn |
| 8 | Rivian Automotive | 16.53 Bn | -6.78 Bn | 179.00 Mn | -1.00 Mn |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn | 240.61 Mn |
| 10 | Brp | 4.09 Bn | 2.46 Bn | 188.27 Mn | -22.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -22.23 Mn |
| Apr 30, 2026 | 34.65 Mn |
| Jan 31, 2026 | 30.19 Mn |
| Oct 31, 2025 | 21.99 Mn |
| Jul 31, 2025 | -15.14 Mn |
| Apr 30, 2025 | 9.84 Mn |
| Jan 31, 2025 | 13.74 Mn |
| Oct 31, 2024 | 24.24 Mn |
| Jul 31, 2024 | 15.19 Mn |
| Apr 30, 2024 | 22.72 Mn |
| Jan 31, 2024 | 59.33 Mn |
| Oct 31, 2023 | 47.94 Mn |
| Jul 31, 2023 | 56.94 Mn |
| Apr 30, 2023 | 30.45 Mn |
| Jan 31, 2023 | 71.40 Mn |
| Oct 31, 2022 | 58.58 Mn |
| Jul 31, 2022 | 63.76 Mn |
| Apr 30, 2022 | 38.45 Mn |
| Jan 31, 2022 | 62.57 Mn |
| Oct 31, 2021 | 41.28 Mn |
Brp Tax Provisions 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=tax-provisions&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();