BT Brands (BTBD) Total Non-Current Liabilities (2022 - 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 (2022 - 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 | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.88 Bn |
| 10 | BT Brands | 11.26 Mn | -6.00 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 25, 2022 | 2.16 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();