Brp (DOO) Pension (2017 - 2026)
Brp (DOO) reported Pension of $137.27 million for the quarter ended Jul 31, 2026, up 1.0% from $135.88 million a year earlier but down 5.9% from the prior quarter.
Brp (DOO) Pension (2017 - 2026) Analysis & Trends
As of Jan 31, 2026, Brp posted Pension of $151.48 million, up 7.5% from the prior year.
- Pension has a five-year compound annual growth rate of -7.4% (years ended Jan 2021 to Jan 2026).
- By year, Pension came in at $140.87 million in the year ended Jan 31, 2025 (+21.6%), $115.87 million in the year ended Jan 31, 2024 (-4.2%), $120.91 million in the year ended Jan 31, 2023 (-31.2%) and $175.81 million in the year ended Jan 31, 2022 (-21.1%).
- Five-year quarterly Pension spans a low of $63.85 million in the quarter ended Oct 31, 2022 and a high of $180.01 million in the quarter ended Oct 31, 2021.
- Year over year, Pension has now increased in each of the last nine quarters, with growth averaging 15.7% over the last eight quarters.
- The high point for year-over-year Pension in five years was the quarter ended Oct 31, 2023 (growth of 60.6%); the low point was the quarter ended Oct 31, 2022 (a decline of 64.5%).
- Per Business Quant data, the three quarters before the quarter ended Jul 31, 2026 came in at $145.9 million (quarter ended Apr 30, 2026), $151.97 million (quarter ended Jan 31, 2026) and $147.2 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,248.20 Bn | 1,074.23 Bn | 4.75 Bn |
| 2 | Ferrari | 70.68 Bn | 63.17 Bn | 1.18 Bn |
| 3 | General Motors | 66.36 Bn | -38.25 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.39 Bn | -95.11 Bn | 6.08 Bn |
| 5 | Honda Motor | 45.29 Bn | -104.52 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 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 |
| 9 | Stellantis | 12.20 Bn | -152.45 Bn | 5.55 Bn |
| 10 | Brp | 4.09 Bn | 2.46 Bn | 188.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 136.61 Mn |
| Apr 30, 2026 | 146.29 Mn |
| Jan 31, 2026 | 156.31 Mn |
| Oct 31, 2025 | 146.05 Mn |
| Jul 31, 2025 | 135.04 Mn |
| Apr 30, 2025 | 140.09 Mn |
| Jan 31, 2025 | 133.86 Mn |
| Oct 31, 2024 | 109.15 Mn |
| Jul 31, 2024 | 111.63 Mn |
| Apr 30, 2024 | 106.46 Mn |
| Jan 31, 2024 | 116.63 Mn |
| Oct 31, 2023 | 100.52 Mn |
| Jul 31, 2023 | 113.43 Mn |
| Apr 30, 2023 | 120.00 Mn |
| Jan 31, 2023 | 118.05 Mn |
| Oct 31, 2022 | 62.32 Mn |
| Jul 31, 2022 | 107.83 Mn |
| Apr 30, 2022 | 115.27 Mn |
| Jan 31, 2022 | 172.58 Mn |
| Oct 31, 2021 | 183.30 Mn |
Brp Pension 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=pension&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();