Brp (DOO) Inventory (2017 - 2026)
Brp's Inventory came in at $1.38 billion for the quarter ended Jul 31, 2026, up 5.6% from $1.31 billion a year earlier and up 1.5% from the prior quarter.
Analysis
Brp (DOO) Inventory (2017 - 2026) Analysis & Trends
As of Jan 31, 2026, Brp's Inventory was $1.31 billion, up 1.7% from the prior year.
- Inventory carries a five-year compound annual growth rate of 10.0% (years ended Jan 2021 to Jan 2026).
- Going back by year, Inventory was $1.29 billion in the year ended Jan 31, 2025 (-19.4%), $1.6 billion in the year ended Jan 31, 2024 (-8.8%), $1.75 billion in the year ended Jan 31, 2023 (+29.8%) and $1.35 billion in the year ended Jan 31, 2022 (+66.0%).
- The five-year range for quarterly Inventory is $1.25 billion (the quarter ended Jan 31, 2025) to $1.91 billion (the quarter ended Oct 31, 2023).
- Year-over-year, Inventory has increased for three consecutive quarters, with an average decline of 8.9% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in the quarter ended Oct 31, 2021 (growth of 72.1%), and the weakest in the quarter ended Oct 31, 2024 (a decline of 23.3%).
- Business Quant data shows DOO's Inventory at $1.36 billion (quarter ended Apr 30, 2026), $1.31 billion (quarter ended Jan 31, 2026) and $1.42 billion (quarter ended Oct 31, 2025) in the three quarters before the quarter ended Jul 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,240.39 Bn | 1,066.41 Bn | 4.75 Bn | 13.75 Bn |
| 2 | Ferrari | 70.63 Bn | 63.12 Bn | 1.18 Bn | 1.42 Bn |
| 3 | General Motors | 66.98 Bn | -37.63 Bn | 9.28 Bn | 15.64 Bn |
| 4 | Ford Motor | 47.63 Bn | -94.86 Bn | 6.08 Bn | 16.95 Bn |
| 5 | Honda Motor | 45.96 Bn | -103.85 Bn | 8.46 Bn | 15.75 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 33.78 Bn |
| 7 | Magna International | 18.06 Bn | 12.08 Bn | 1.61 Bn | 4.01 Bn |
| 8 | Rivian Automotive | 16.16 Bn | -7.15 Bn | 179.00 Mn | 1.66 Bn |
| 9 | Stellantis | 12.25 Bn | -152.39 Bn | 5.55 Bn | 27.40 Bn |
| 10 | Brp | 4.18 Bn | 2.55 Bn | 188.27 Mn | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.37 Bn |
| Apr 30, 2026 | 1.36 Bn |
| Jan 31, 2026 | 1.35 Bn |
| Oct 31, 2025 | 1.41 Bn |
| Jul 31, 2025 | 1.30 Bn |
| Apr 30, 2025 | 1.31 Bn |
| Jan 31, 2025 | 1.22 Bn |
| Oct 31, 2024 | 1.44 Bn |
| Jul 31, 2024 | 1.60 Bn |
| Apr 30, 2024 | 1.61 Bn |
| Jan 31, 2024 | 1.61 Bn |
| Oct 31, 2023 | 1.87 Bn |
| Jul 31, 2023 | 1.78 Bn |
| Apr 30, 2023 | 1.84 Bn |
| Jan 31, 2023 | 1.71 Bn |
| Oct 31, 2022 | 1.82 Bn |
| Jul 31, 2022 | 1.70 Bn |
| Apr 30, 2022 | 1.56 Bn |
| Jan 31, 2022 | 1.33 Bn |
| Oct 31, 2021 | 1.41 Bn |
API Access
Brp Inventory 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=inventory&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();