Masterbeef (MB) Total Liabilities (2023 - 2025)
Masterbeef's Total Liabilities was $32.99 million in the quarter ended Dec 31, 2025, down 8.3% from $35.99 million a year earlier.
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Analysis
Masterbeef (MB) Total Liabilities (2023 - 2025) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Masterbeef came in at $32.92 million, down 8.2% from the prior year.
- In earlier years, Total Liabilities was $35.86 million in the year ended Dec 31, 2024 (+682.6%) and $4.58 million in the year ended Dec 31, 2023.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Total Liabilities since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 2.09 Bn |
| 10 | Masterbeef | 68.45 Mn | 12.59 Mn | - | 32.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 32.99 Mn |
| Jun 30, 2025 | 33.44 Mn |
| Dec 31, 2024 | 35.99 Mn |
| Dec 31, 2023 | 4.59 Mn |
API Access
Masterbeef 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=MB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "MB", "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=MB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();