Malibu Boats (MBUU) Accumulated Expenses (2013 - 2026)
Malibu Boats' Accumulated Expenses came in at $168.14 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 53.2% from $109.77 million a year earlier and up 0.4% from the prior quarter.
Powered by 
Analysis
Malibu Boats (MBUU) Accumulated Expenses (2013 - 2026) Analysis & Trends
Going back to fiscal Q4 2013, Malibu Boats' Accumulated Expenses data covers 52 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 16.9% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $109.77 million in FY2025 (-8.1%), $119.43 million in FY2024 (-36.2%), $187.08 million in FY2023 (+113.2%) and $87.74 million in FY2022 (+13.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Accumulated Expenses since fiscal Q4 2023.
- Year-over-year, Accumulated Expenses has increased for four consecutive quarters, with growth averaging 13.9% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q4 2023 (growth of 113.2%), and the weakest in fiscal Q4 2024 (a decline of 36.2%).
- Business Quant data shows MBUU's Accumulated Expenses at $167.52 million (Q3 2026), $115.57 million (Q2 2026) and $112.2 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Malibu Boats | 442.47 Mn | 249.54 Mn | 52.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 168.14 Mn |
| Mar 31, 2026 | 167.52 Mn |
| Dec 31, 2025 | 115.57 Mn |
| Sep 30, 2025 | 112.20 Mn |
| Jun 30, 2025 | 109.77 Mn |
| Mar 31, 2025 | 105.98 Mn |
| Dec 31, 2024 | 106.37 Mn |
| Sep 30, 2024 | 110.89 Mn |
| Jun 30, 2024 | 119.43 Mn |
| Mar 31, 2024 | 108.87 Mn |
| Dec 31, 2023 | 106.72 Mn |
| Sep 30, 2023 | 109.48 Mn |
| Jun 30, 2023 | 187.08 Mn |
| Mar 31, 2023 | 90.64 Mn |
| Dec 31, 2022 | 85.82 Mn |
| Sep 30, 2022 | 81.62 Mn |
| Jun 30, 2022 | 87.74 Mn |
| Mar 31, 2022 | 83.93 Mn |
| Dec 31, 2021 | 77.41 Mn |
| Sep 30, 2021 | 71.35 Mn |
API Access
Malibu Boats Accumulated Expenses 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=accumulated-expenses&ticker=MBUU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MBUU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();