BT Brands (BTBD) Cash & Equivalents (2018 - 2026)
BT Brands (BTBD) reported Cash & Equivalents of $1.59 million for Q2 2026, up 184.4% from $560,068 a year earlier and up 56.9% from the prior quarter.
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Analysis
BT Brands (BTBD) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2025, BT Brands posted Cash & Equivalents of $846,167, down 56.6% from FY2024.
- Cash & Equivalents has a four-year compound annual growth rate of -10.5% (FY2021 to FY2025).
- By year, Cash & Equivalents came in at $1.95 million in FY2024 (-63.2%), $5.3 million in FY2023 and $1.32 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Cash & Equivalents since Q4 2024.
- Year over year, Cash & Equivalents gained in 1 of the last eight quarters, with an average decline of 25.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q1 2022 (growth of 658.4%); the low point was Q2 2025 (a decline of 85.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.01 million (Q1 2026), $846,167 (Q4 2025) and $1.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 202.43 Mn |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - | 1.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.59 Mn |
| Mar 29, 2026 | 1.01 Mn |
| Dec 28, 2025 | 846,167.00 |
| Sep 28, 2025 | 1.28 Mn |
| Jun 29, 2025 | 560,068.00 |
| Mar 30, 2025 | 1.07 Mn |
| Dec 29, 2024 | 1.95 Mn |
| Sep 29, 2024 | 3.09 Mn |
| Jun 30, 2024 | 3.74 Mn |
| Mar 30, 2024 | 4.67 Mn |
| Dec 29, 2023 | 5.30 Mn |
| Oct 1, 2023 | 5.55 Mn |
| Jul 2, 2023 | 5.70 Mn |
| Apr 2, 2023 | 5.49 Mn |
| Oct 2, 2022 | 7.17 Mn |
| Jul 3, 2022 | 8.30 Mn |
| Apr 3, 2022 | 11.07 Mn |
| Jan 2, 2022 | 12.39 Mn |
| Oct 3, 2021 | 2.08 Mn |
| Jul 4, 2021 | 1.72 Mn |
API Access
BT Brands 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=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "BTBD", "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=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();