BT Brands (BTBD) Total Liabilities (2018 - 2026)
BT Brands' Total Liabilities came in at $4.14 million for Q2 2026, down 6.7% from $4.43 million a year earlier and down 3.7% from the prior quarter.
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Analysis
BT Brands (BTBD) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2025, BT Brands' Total Liabilities was $4.33 million, down 14.0% from FY2024.
- Total Liabilities carries a four-year compound annual growth rate of 5.2% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $5.03 million in FY2024, $2.9 million in FY2022 (-17.8%) and $3.53 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q4 2022.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 9.8% over the last six quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2022 (growth of 25.9%), and the weakest in Q3 2025 (a decline of 18.6%).
- Business Quant data shows BTBD's Total Liabilities at $4.3 million (Q1 2026), $4.33 million (Q4 2025) and $4.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 2.09 Bn |
| 10 | BT Brands | 10.74 Mn | -6.51 Mn | - | 4.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 4.14 Mn |
| Mar 29, 2026 | 4.30 Mn |
| Dec 28, 2025 | 4.33 Mn |
| Sep 28, 2025 | 4.21 Mn |
| Jun 29, 2025 | 4.43 Mn |
| Mar 30, 2025 | 4.34 Mn |
| Dec 29, 2024 | 5.03 Mn |
| Sep 29, 2024 | 5.18 Mn |
| Jun 30, 2024 | 5.32 Mn |
| Mar 31, 2024 | 5.20 Mn |
| Dec 31, 2023 | 5.42 Mn |
| Oct 1, 2023 | 5.27 Mn |
| Jul 2, 2023 | 5.55 Mn |
| Apr 2, 2023 | 5.36 Mn |
| Jan 1, 2023 | 6.62 Mn |
| Oct 2, 2022 | 5.34 Mn |
| Jul 3, 2022 | 5.20 Mn |
| Apr 3, 2022 | 4.63 Mn |
| Jan 2, 2022 | 3.88 Mn |
| Oct 3, 2021 | 4.26 Mn |
API Access
BT Brands 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=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();