Brp (DOO) Cash & Equivalents (2017 - 2026)
Brp (DOO) reported Cash & Equivalents of $462.34 million for the quarter ended Jul 31, 2026, up 135.3% from $196.45 million a year earlier but down 9.3% from the prior quarter.
Brp (DOO) Cash & Equivalents (2017 - 2026) Analysis & Trends
As of Jan 31, 2026, Brp posted Cash & Equivalents of $316.56 million, up 153.9% from the prior year.
- Cash & Equivalents has a five-year compound annual growth rate of -21.1% (years ended Jan 2021 to Jan 2026).
- By year, Cash & Equivalents came in at $124.68 million in the year ended Jan 31, 2025 (-66.0%), $366.97 million in the year ended Jan 31, 2024 (+142.8%), $151.15 million in the year ended Jan 31, 2023 (-27.4%) and $208.32 million in the year ended Jan 31, 2022 (-79.8%).
- Five-year quarterly Cash & Equivalents spans a low of $27.78 million in the quarter ended Oct 31, 2021 and a high of $509.68 million in the quarter ended Apr 30, 2026.
- Year over year, Cash & Equivalents has now increased in each of the last five quarters, with growth averaging 50.9% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was the quarter ended Jul 31, 2023 (growth of 535.3%); the low point was the quarter ended Oct 31, 2021 (a decline of 97.2%).
- Per Business Quant data, the three quarters before the quarter ended Jul 31, 2026 came in at $509.68 million (quarter ended Apr 30, 2026), $316.56 million (quarter ended Jan 31, 2026) and $178.88 million (quarter ended Oct 31, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 17.85 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 1.96 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 23.20 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 22.28 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 60.26 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 3.51 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | 1.38 Bn |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 5.91 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 32.94 Bn |
| 10 | Brp | 4.83 Bn | 3.19 Bn | 188.27 Mn | 462.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 462.34 Mn |
| Apr 30, 2026 | 509.68 Mn |
| Jan 31, 2026 | 316.56 Mn |
| Oct 31, 2025 | 178.88 Mn |
| Jul 31, 2025 | 196.45 Mn |
| Apr 30, 2025 | 227.17 Mn |
| Jan 31, 2025 | 124.68 Mn |
| Oct 31, 2024 | 105.69 Mn |
| Jul 31, 2024 | 119.43 Mn |
| Apr 30, 2024 | 305.41 Mn |
| Jan 31, 2024 | 366.97 Mn |
| Oct 31, 2023 | 205.08 Mn |
| Jul 31, 2023 | 293.19 Mn |
| Apr 30, 2023 | 156.62 Mn |
| Jan 31, 2023 | 151.15 Mn |
| Oct 31, 2022 | 44.02 Mn |
| Jul 31, 2022 | 46.15 Mn |
| Apr 30, 2022 | 43.19 Mn |
| Jan 31, 2022 | 208.32 Mn |
| Oct 31, 2021 | 27.78 Mn |
Brp Cash & Equivalents 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=cash-and-equivalents&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();