BT Brands (BTBD) Long-Term Debt Repayments (2019 - 2026)
BT Brands' Long-Term Debt Repayments came in at $51,657 for Q2 2026, up 9.8% from $47,055 a year earlier and up 17.4% from the prior quarter.
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Analysis
BT Brands (BTBD) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, BT Brands reported Long-Term Debt Repayments of $191,013, up 2.9% year-over-year; for FY2025, it was $189,270, up 3.9% from FY2024.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of -18.9% (FY2021 to FY2025).
- Going back by year, Long-Term Debt Repayments was $182,156 in FY2024 and $436,456 in FY2021.
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2023.
- Year-over-year, Long-Term Debt Repayments increased in five of the last seven quarters, with growth averaging 3.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2023 (growth of 478.4%), and the weakest in Q2 2022 (a decline of 98.6%).
- Business Quant data shows BTBD's Long-Term Debt Repayments at $44,011 (Q1 2026), $43,906 (Q4 2025) and $51,439 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | - |
| 10 | BT Brands | 10.74 Mn | -6.51 Mn | - | 51,657.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 51,657.00 |
| Mar 29, 2026 | 44,011.00 |
| Dec 28, 2025 | 43,906.00 |
| Sep 28, 2025 | 51,439.00 |
| Jun 29, 2025 | 47,055.00 |
| Mar 30, 2025 | 46,870.00 |
| Dec 29, 2024 | 46,224.00 |
| Sep 29, 2024 | 45,437.00 |
| Jun 30, 2024 | 45,437.00 |
| Mar 31, 2024 | 45,058.00 |
| Dec 31, 2023 | 45,130.00 |
| Oct 1, 2023 | 44,041.00 |
| Jul 2, 2023 | 44,925.00 |
| Apr 2, 2023 | 244,297.00 |
| Jan 1, 2023 | 42,791.00 |
| Oct 2, 2022 | 41,703.00 |
| Jul 3, 2022 | 41,798.00 |
| Apr 3, 2022 | 42,237.00 |
| Jul 4, 2021 | 3.02 Mn |
| Apr 4, 2021 | 62,729.00 |
API Access
BT Brands Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();