BRP Inc. (DOO) Price to Earnings (2019 - 2026)
Brp's (DOO) Price to Earnings stood at 2.59 in the quarter ended Jul 31, 2026, up 34.3% from 1.93 a year earlier and up 165.2% from the prior quarter.
Analysis
BRP Inc. (DOO) Price to Earnings (2019 - 2026) Analysis & Trends
For the year ended Jan 31, 2026, Brp's Price to Earnings came in at 1.23.
- Across earlier years, Price to Earnings came in at 0.41 in the year ended Jan 31, 2024 (-2.8%), 0.42 in the year ended Jan 31, 2023 (-29.3%) and 0.59 in the year ended Jan 31, 2022 (-35.7%).
- The figure for the quarter ended Jul 31, 2026 is the highest quarterly Price to Earnings in data going back to the quarter ended Jan 31, 2019.
- On a year-over-year basis, Price to Earnings rose in five of the last six quarters, with growth averaging 95.7%.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 226.3% in the quarter ended Apr 30, 2025, against a decline of 60.2% in the quarter ended Oct 31, 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.98 (quarter ended Apr 30, 2026), 1.25 (quarter ended Jan 31, 2026) and 1.62 (quarter ended Oct 31, 2025).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.59 |
| Apr 30, 2026 | 0.98 |
| Jan 31, 2026 | 1.25 |
| Oct 31, 2025 | 1.62 |
| Jul 31, 2025 | 1.93 |
| Apr 30, 2025 | 1.50 |
| Oct 31, 2024 | 0.77 |
| Jul 31, 2024 | 0.95 |
| Apr 30, 2024 | 0.46 |
| Jan 31, 2024 | 0.35 |
| Oct 31, 2023 | 0.33 |
| Jul 31, 2023 | 0.41 |
| Apr 30, 2023 | 0.37 |
| Jan 31, 2023 | 0.42 |
| Oct 31, 2022 | 0.55 |
| Jul 31, 2022 | 0.63 |
| Apr 30, 2022 | 0.68 |
| Jan 31, 2022 | 0.59 |
| Oct 31, 2021 | 0.50 |
| Jul 31, 2021 | 0.44 |
API Access
BRP Inc. Price to Earnings 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=price-to-earnings&ticker=DOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=DOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();