Brp (DOO) Total Liabilities (2017 - 2026)
Brp's Total Liabilities was $4.5 billion in the quarter ended Jul 31, 2026, up 7.3% from $4.19 billion a year earlier and up 1.7% from the prior quarter.
Powered by 
Analysis
Brp (DOO) Total Liabilities (2017 - 2026) Analysis & Trends
As of Jan 31, 2026, Total Liabilities at Brp came in at $4.23 billion, up 1.5% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of 0.3% (years ended Jan 2021 to Jan 2026).
- In earlier years, Total Liabilities was $4.17 billion in the year ended Jan 31, 2025 (-6.2%), $4.45 billion in the year ended Jan 31, 2024 (+0.5%), $4.43 billion in the year ended Jan 31, 2023 (+9.4%) and $4.05 billion in the year ended Jan 31, 2022 (-3.1%).
- The figure for the quarter ended Jul 31, 2026 marks the highest quarterly Total Liabilities since the quarter ended Apr 30, 2023.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with an average decline of 0.2% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Oct 31, 2022 (growth of 13.1%); the worst was the quarter ended Jan 31, 2025 (a decline of 6.2%).
- Per Business Quant data, DOO's Total Liabilities in the three quarters before the quarter ended Jul 31, 2026 was $4.42 billion (quarter ended Apr 30, 2026), $4.23 billion (quarter ended Jan 31, 2026) and $4.24 billion (quarter ended Oct 31, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,230.49 Bn | 1,061.40 Bn | 5.49 Bn | 67.68 Bn |
| 2 | Ferrari | 154.33 Bn | 146.64 Bn | 1.14 Bn | 7.39 Bn |
| 3 | General Motors | 75.30 Bn | -27.60 Bn | 9.28 Bn | 224.67 Bn |
| 4 | Ford Motor | 48.13 Bn | -86.25 Bn | -12.63 Bn | 255.52 Bn |
| 5 | Toyota Motor | 28.58 Bn | -348.98 Bn | 19.83 Bn | 409.99 Bn |
| 6 | Rivian Automotive | 20.00 Bn | -1.70 Bn | 176.00 Mn | 10.01 Bn |
| 7 | Magna International | 17.18 Bn | 11.48 Bn | 1.63 Bn | - |
| 8 | Li Auto | 12.66 Bn | -36.22 Bn | 417.98 Mn | 11.09 Bn |
| 9 | Stellantis | 12.34 Bn | -148.56 Bn | 3.94 Bn | 173.11 Bn |
| 10 | Brp | 4.83 Bn | 3.19 Bn | 188.27 Mn | 4.50 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.50 Bn |
| Apr 30, 2026 | 4.42 Bn |
| Jan 31, 2026 | 4.23 Bn |
| Oct 31, 2025 | 4.24 Bn |
| Jul 31, 2025 | 4.19 Bn |
| Apr 30, 2025 | 4.25 Bn |
| Jan 31, 2025 | 4.17 Bn |
| Oct 31, 2024 | 4.29 Bn |
| Jan 31, 2024 | 4.45 Bn |
| Oct 31, 2023 | 4.47 Bn |
| Jul 31, 2023 | 4.43 Bn |
| Apr 30, 2023 | 4.51 Bn |
| Jan 31, 2023 | 4.43 Bn |
| Oct 31, 2022 | 4.40 Bn |
| Jul 31, 2022 | 4.19 Bn |
| Apr 30, 2022 | 4.23 Bn |
| Jan 31, 2022 | 4.05 Bn |
| Oct 31, 2021 | 3.89 Bn |
| Jul 31, 2021 | 3.75 Bn |
| Apr 30, 2021 | 3.81 Bn |
API Access
Brp Total Liabilities 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=total-liabilities&ticker=DOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();