Malibu Boats (MBUU) Cash & Equivalents (2012 - 2026)
Malibu Boats (MBUU) posted Cash & Equivalents of $74.42 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 101.1% from $37 million a year earlier and up 48.3% from the prior quarter.
Malibu Boats (MBUU) Cash & Equivalents (2012 - 2026) Analysis & Trends
Since fiscal Q2 2013, Malibu Boats has reported Cash & Equivalents for 55 quarters.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- In prior fiscal years, Malibu Boats' Cash & Equivalents was $37 million in FY2025 (+37.3%), $26.95 million in FY2024 (-65.9%), $78.94 million in FY2023 (-5.7%) and $83.74 million in FY2022 (+101.9%).
- The fiscal Q4 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q4 2023.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 14.2%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2022, with growth of 101.9%; the weakest was fiscal Q4 2024, with a decline of 65.9%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $50.17 million (Q3 2026), $28.21 million (Q2 2026) and $44.11 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,199.60 Bn | 1,034.16 Bn | 4.75 Bn | 15.22 Bn |
| 2 | Toyota Motor | 237.87 Bn | -168.87 Bn | 20.95 Bn | 64.89 Bn |
| 3 | Ferrari | 144.10 Bn | 136.55 Bn | 1.18 Bn | 1.73 Bn |
| 4 | Honda Motor | 142.11 Bn | 9.49 Bn | 8.46 Bn | 33.23 Bn |
| 5 | General Motors | 68.70 Bn | -36.17 Bn | 7.33 Bn | 20.13 Bn |
| 6 | Ford Motor | 47.39 Bn | -95.07 Bn | 6.08 Bn | 18.60 Bn |
| 7 | Rivian Automotive | 19.48 Bn | -3.81 Bn | 179.00 Mn | 3.59 Bn |
| 8 | Magna International | 18.09 Bn | 15.65 Bn | 1.61 Bn | 1.43 Bn |
| 9 | Stellantis | 12.78 Bn | -153.22 Bn | 5.55 Bn | 39.17 Bn |
| 10 | Malibu Boats | 444.20 Mn | 251.28 Mn | 52.19 Mn | 74.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.42 Mn |
| Mar 31, 2026 | 50.17 Mn |
| Dec 31, 2025 | 28.21 Mn |
| Sep 30, 2025 | 44.11 Mn |
| Jun 30, 2025 | 37.00 Mn |
| Mar 31, 2025 | 38.71 Mn |
| Dec 31, 2024 | 35.12 Mn |
| Sep 30, 2024 | 27.66 Mn |
| Jun 30, 2024 | 26.95 Mn |
| Mar 31, 2024 | 47.12 Mn |
| Dec 31, 2023 | 55.72 Mn |
| Sep 30, 2023 | 45.46 Mn |
| Jun 30, 2023 | 78.94 Mn |
| Mar 31, 2023 | 35.16 Mn |
| Dec 31, 2022 | 49.85 Mn |
| Sep 30, 2022 | 43.05 Mn |
| Jun 30, 2022 | 83.74 Mn |
| Mar 31, 2022 | 56.97 Mn |
| Dec 31, 2021 | 44.84 Mn |
| Sep 30, 2021 | 29.50 Mn |
Malibu Boats Cash & Equivalents 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=cash-and-equivalents&ticker=MBUU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MBUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();