MasterCraft Boat Holdings (MCFT) Total Liabilities (2015 - 2026)
MasterCraft Boat Holdings (MCFT) recorded Total Liabilities of $119.14 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 56.0% from $76.36 million a year earlier and up 34.5% from the prior quarter.
MasterCraft Boat Holdings (MCFT) Total Liabilities (2015 - 2026) Analysis & Trends
Starting with fiscal Q4 2015, MasterCraft Boat Holdings' Total Liabilities history includes 45 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of -6.7% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $76.36 million in FY2025 (+0.4%), $76.07 million in FY2024 (-53.0%), $161.89 million in FY2023 (+5.5%) and $153.4 million in FY2022 (-9.1%).
- The fiscal Q4 2026 figure is the highest quarterly Total Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Liabilities rose in three of the last eight quarters, with an average decline of 9.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 56.0% in fiscal Q4 2026, against a decline of 53.0% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $88.6 million (Q3 2026), $70.42 million (Q2 2026) and $73.58 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,221.71 Bn | 1,043.93 Bn | 5.49 Bn | 67.68 Bn |
| 2 | General Motors | 77.93 Bn | -26.68 Bn | 9.28 Bn | 224.67 Bn |
| 3 | Ferrari | 74.00 Bn | 67.46 Bn | - | 6.72 Bn |
| 4 | Ford Motor | 49.18 Bn | -85.24 Bn | 7.38 Bn | 255.52 Bn |
| 5 | Toyota Motor | 28.58 Bn | -344.44 Bn | - | 410.43 Bn |
| 6 | Rivian Automotive | 20.30 Bn | -1.42 Bn | 176.00 Mn | 10.01 Bn |
| 7 | Magna International | 17.50 Bn | 12.21 Bn | - | 13.12 Bn |
| 8 | Stellantis | 12.66 Bn | -174.61 Bn | - | 166.34 Bn |
| 9 | Li Auto | 12.65 Bn | -27.40 Bn | - | 11.60 Bn |
| 10 | MasterCraft Boat Holdings | 371.83 Mn | 94.64 Mn | 29.31 Mn | 119.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.14 Mn |
| Mar 29, 2026 | 88.60 Mn |
| Dec 28, 2025 | 70.42 Mn |
| Sep 28, 2025 | 73.58 Mn |
| Jun 30, 2025 | 76.36 Mn |
| Mar 30, 2025 | 79.62 Mn |
| Dec 29, 2024 | 71.61 Mn |
| Sep 29, 2024 | 133.50 Mn |
| Jun 30, 2024 | 76.07 Mn |
| Mar 31, 2024 | 143.78 Mn |
| Dec 31, 2023 | 138.46 Mn |
| Oct 1, 2023 | 142.33 Mn |
| Jun 30, 2023 | 161.89 Mn |
| Apr 2, 2023 | 162.13 Mn |
| Jan 1, 2023 | 139.94 Mn |
| Oct 2, 2022 | 137.55 Mn |
| Jun 30, 2022 | 153.40 Mn |
| Apr 3, 2022 | 156.53 Mn |
| Jan 2, 2022 | 146.82 Mn |
| Oct 3, 2021 | 161.47 Mn |
MasterCraft Boat Holdings 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=MCFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MCFT", "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=MCFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();