BT Brands (BTBD) Total Non-Current Liabilities (2023 - 2026)
BT Brands' Total Non-Current Liabilities was $1.17 million in Q2 2026, up 12.6% from the prior quarter.
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Analysis
BT Brands (BTBD) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at BT Brands came in at $1.14 million, up 8.5% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -18.7% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.05 million in FY2024, $2.16 million in FY2022 (-16.9%) and $2.6 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 178.47 Bn | 173.29 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 115.68 Bn | 103.30 Bn | - | - |
| 3 | Yum Brands | 42.12 Bn | 39.00 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.71 Bn | 31.69 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 26.54 Bn | 22.09 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.46 Bn | 23.55 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.52 Bn | 9.17 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.06 Bn | 10.40 Bn | - | 1.88 Bn |
| 10 | BT Brands | 10.64 Mn | -6.61 Mn | - | 1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.17 Mn |
| Mar 29, 2026 | 1.04 Mn |
| Dec 28, 2025 | 1.14 Mn |
| Dec 29, 2024 | 1.05 Mn |
| Dec 31, 2023 | 2.03 Mn |
API Access
BT Brands Total Non-Current 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-non-current-liabilities&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();