BT Brands (BTBD) Operating Leases (2023 - 2026)
BT Brands' Operating Leases came in at $1.05 million for Q2 2026, down 15.8% from $1.25 million a year earlier and down 10.1% from the prior quarter.
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Analysis
BT Brands (BTBD) Operating Leases (2023 - 2026) Analysis & Trends
At the end of FY2025, BT Brands' Operating Leases was $1.21 million, down 19.2% from FY2024.
- Going back by year, Operating Leases was $1.5 million in FY2024.
- The Q2 2026 figure represents the lowest quarterly Operating Leases in data going back to Q1 2023.
- Year-over-year, Operating Leases has declined for five consecutive quarters, with an average decline of 14.9% over the last six quarters.
- Business Quant data shows BTBD's Operating Leases at $1.17 million (Q1 2026), $1.21 million (Q4 2025) and $1.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 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 |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | BT Brands | 11.26 Mn | -6.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.05 Mn |
| Mar 29, 2026 | 1.17 Mn |
| Dec 28, 2025 | 1.21 Mn |
| Sep 28, 2025 | 1.31 Mn |
| Jun 29, 2025 | 1.25 Mn |
| Mar 30, 2025 | 1.30 Mn |
| Dec 29, 2024 | 1.50 Mn |
| Sep 29, 2024 | 1.57 Mn |
| Jun 30, 2024 | 1.63 Mn |
| Oct 1, 2023 | 1.65 Mn |
| Jul 2, 2023 | 1.63 Mn |
| Apr 2, 2023 | 1.77 Mn |
API Access
BT Brands Operating Leases 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=operating-leases&ticker=BTBD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=BTBD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();