Masterbeef (MB) Cash & Equivalents (2023 - 2025)
Masterbeef (MB) reported Cash & Equivalents of $18.99 million for the quarter ended Dec 31, 2025, up 25.8% from $15.09 million a year earlier.
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Analysis
Masterbeef (MB) Cash & Equivalents (2023 - 2025) Analysis & Trends
As of Dec 31, 2025, Masterbeef posted Cash & Equivalents of $18.98 million, up 25.9% from the prior year.
- Cash & Equivalents has a three-year compound annual growth rate of -8.9% (years ended Dec 2022 to Dec 2025).
- By year, Cash & Equivalents came in at $15.08 million in the year ended Dec 31, 2024, $1,993 in the year ended Dec 31, 2023 (-100.0%) and $25.07 million in the year ended Dec 31, 2022.
- Five-year quarterly Cash & Equivalents spans a low of $1,996 in the quarter ended Dec 31, 2023 and a high of $21.64 million in the quarter ended Jun 30, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 1.19 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 3.68 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 634.21 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 2.11 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 974.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 974.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 535.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 141.41 Mn |
| 10 | Masterbeef | 67.93 Mn | -6.52 Mn | - | 18.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 18.98 Mn |
| Jun 30, 2025 | 21.64 Mn |
| Dec 31, 2024 | 15.11 Mn |
| Dec 31, 2023 | 18.72 Mn |
API Access
Masterbeef 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=MB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();