Malibu Boats (MBUU) Price to Earnings (2015 - 2026)
Malibu Boats' Price to Earnings came in at 320.34 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 673.4% from 41.42 a year earlier.
Analysis
Malibu Boats (MBUU) Price to Earnings (2015 - 2026) Analysis & Trends
Going back to fiscal Q3 2015, Malibu Boats' Price to Earnings data covers 40 quarters.
- Going back by fiscal year, Price to Earnings was 41.42 in FY2025, 11.51 in FY2023 (+65.8%) and 6.94 in FY2022 (-49.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Price to Earnings in data going back to fiscal Q3 2015.
- The fastest year-over-year change in Price to Earnings over five years came in fiscal Q4 2026 (growth of 673.4%), and the weakest in fiscal Q3 2022 (a decline of 58.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn |
| 10 | Malibu Boats | 444.20 Mn | 251.28 Mn | 52.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 320.34 |
| Dec 31, 2025 | 37.45 |
| Sep 30, 2025 | 32.64 |
| Jun 30, 2025 | 41.42 |
| Dec 31, 2023 | 17.29 |
| Sep 30, 2023 | 11.23 |
| Jun 30, 2023 | 11.51 |
| Mar 31, 2023 | 6.82 |
| Dec 31, 2022 | 6.37 |
| Sep 30, 2022 | 5.93 |
| Jun 30, 2022 | 6.94 |
| Mar 31, 2022 | 8.40 |
| Dec 31, 2021 | 11.55 |
| Sep 30, 2021 | 12.61 |
| Jun 30, 2021 | 13.85 |
| Mar 31, 2021 | 20.13 |
| Dec 31, 2020 | 18.14 |
| Sep 30, 2020 | 15.32 |
| Jun 30, 2020 | 17.44 |
| Mar 31, 2020 | 7.94 |
API Access
Malibu Boats 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=MBUU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "MBUU", "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=MBUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();