Brp (DOO) Operating Leases (2019 - 2026)
Brp's Operating Leases was $317.58 million in the quarter ended Jul 31, 2026, up 121.3% from $143.52 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Brp (DOO) Operating Leases (2019 - 2026) Analysis & Trends
As of Jan 31, 2026, Operating Leases at Brp came in at $130.94 million, up 14.0% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of -3.2% (years ended Jan 2021 to Jan 2026).
- In earlier years, Operating Leases was $114.87 million in the year ended Jan 31, 2025 (+9.1%), $105.27 million in the year ended Jan 31, 2024 (-9.6%), $116.47 million in the year ended Jan 31, 2023 (+24.1%) and $93.81 million in the year ended Jan 31, 2022 (-39.2%).
- The figure for the quarter ended Jul 31, 2026 marks the highest quarterly Operating Leases in data going back to the quarter ended Jan 31, 2019.
- Compared with a year earlier, Operating Leases has increased for seven straight quarters, with growth averaging 49.2% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Apr 30, 2026 (growth of 169.9%); the worst was the quarter ended Jul 31, 2022 (a decline of 45.4%).
- Per Business Quant data, DOO's Operating Leases in the three quarters before the quarter ended Jul 31, 2026 was $308.44 million (quarter ended Apr 30, 2026), $131.36 million (quarter ended Jan 31, 2026) and $139.06 million (quarter ended Oct 31, 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 316.03 Mn |
| Apr 30, 2026 | 309.26 Mn |
| Jan 31, 2026 | 135.12 Mn |
| Oct 31, 2025 | 137.97 Mn |
| Jul 31, 2025 | 142.64 Mn |
| Apr 30, 2025 | 117.60 Mn |
| Jan 31, 2025 | 109.16 Mn |
| Oct 31, 2024 | 98.43 Mn |
| Jul 31, 2024 | 108.02 Mn |
| Apr 30, 2024 | 103.02 Mn |
| Jan 31, 2024 | 105.96 Mn |
| Oct 31, 2023 | 100.15 Mn |
| Jul 31, 2023 | 107.01 Mn |
| Apr 30, 2023 | 111.40 Mn |
| Jan 31, 2023 | 113.72 Mn |
| Oct 31, 2022 | 91.56 Mn |
| Jul 31, 2022 | 92.53 Mn |
| Apr 30, 2022 | 90.67 Mn |
| Jan 31, 2022 | 92.09 Mn |
| Oct 31, 2021 | 161.43 Mn |
API Access
Brp Operating Leases 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=operating-leases&ticker=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();