BT Brands (BTBD) Non-Current Debt (2018 - 2026)
BT Brands' Non-Current Debt was $354,738 in Q3 2022, compared with -$3.11 million a year earlier.
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Analysis
BT Brands (BTBD) Non-Current Debt (2018 - 2026) Analysis & Trends
For FY2021, Non-Current Debt at BT Brands came in at $179,000.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 11.78 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 9.46 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 50.00 Mn |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - | 1.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.80 Mn |
| Mar 29, 2026 | 1.85 Mn |
| Dec 28, 2025 | 1.90 Mn |
| Sep 28, 2025 | 1.93 Mn |
| Jun 29, 2025 | 1.99 Mn |
| Mar 30, 2025 | 2.07 Mn |
| Dec 29, 2024 | 2.09 Mn |
| Sep 29, 2024 | 2.15 Mn |
| Jun 30, 2024 | 2.20 Mn |
| Oct 1, 2023 | 2.33 Mn |
| Jul 2, 2023 | 2.37 Mn |
| Apr 2, 2023 | 2.42 Mn |
| Oct 2, 2022 | 2.70 Mn |
| Jul 3, 2022 | 2.75 Mn |
| Apr 3, 2022 | 2.79 Mn |
| Jan 2, 2022 | 2.83 Mn |
| Oct 3, 2021 | 3.01 Mn |
| Jul 4, 2021 | 3.04 Mn |
| Apr 4, 2021 | 2.70 Mn |
| Jan 3, 2021 | 2.94 Mn |
API Access
BT Brands Non-Current Debt 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=non-current-debt&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();