Cracker Barrel Old Country Store (CBRL) Operating Leases (2019 - 2026)
Cracker Barrel Old Country Store's Operating Leases came in at $650.2 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 1.0% from $644.03 million a year earlier and up 6.9% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) Operating Leases (2019 - 2026) Analysis & Trends
Going back to fiscal Q1 2020, Cracker Barrel Old Country Store's Operating Leases data covers 28 quarters.
- Operating Leases carries a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $644.03 million in FY2025 (-4.7%), $675.99 million in FY2024 (-3.8%), $702.41 million in FY2023 (-2.7%) and $722.16 million in FY2022 (-3.5%).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Leases since fiscal Q3 2025.
- Year-over-year, Operating Leases increased in 1 of the last eight quarters, with an average decline of 4.4%.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q4 2026 (growth of 1.0%), and the weakest in fiscal Q3 2026 (a decline of 6.9%).
- Business Quant data shows CBRL's Operating Leases at $608.05 million (Q3 2026), $618.61 million (Q2 2026) and $632.31 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - |
| 10 | Cracker Barrel Old Country Store | 1.20 Bn | 1.12 Bn | 605.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 650.20 Mn |
| May 1, 2026 | 608.05 Mn |
| Jan 30, 2026 | 618.61 Mn |
| Oct 31, 2025 | 632.31 Mn |
| Aug 1, 2025 | 644.03 Mn |
| May 2, 2025 | 653.06 Mn |
| Jan 31, 2025 | 655.67 Mn |
| Nov 1, 2024 | 667.18 Mn |
| Aug 2, 2024 | 675.99 Mn |
| Apr 26, 2024 | 681.27 Mn |
| Jan 26, 2024 | 689.50 Mn |
| Oct 27, 2023 | 696.87 Mn |
| Jul 28, 2023 | 702.41 Mn |
| Apr 28, 2023 | 711.20 Mn |
| Jan 27, 2023 | 712.06 Mn |
| Oct 28, 2022 | 714.16 Mn |
| Jul 29, 2022 | 722.16 Mn |
| Apr 29, 2022 | 731.30 Mn |
| Jan 28, 2022 | 738.72 Mn |
| Oct 29, 2021 | 744.15 Mn |
Cracker Barrel Old Country Store 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=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "CBRL", "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=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();