Cracker Barrel Old Country Store (CBRL) Revenue (2009 - 2026)
Cracker Barrel Old Country Store's Revenue was $849.34 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), down 2.2% from $868.01 million a year earlier but up 6.5% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Revenue at Cracker Barrel Old Country Store came in at $3.32 billion, down 4.7% from FY2025.
- Revenue shows a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In earlier fiscal years, Revenue was $3.48 billion in FY2025 (+0.4%), $3.47 billion in FY2024 (+0.8%), $3.44 billion in FY2023 (+5.4%) and $3.27 billion in FY2022 (+15.8%).
- Quarterly Revenue has moved between $784.93 million (fiscal Q1 2022) and $949.44 million (fiscal Q2 2025) over five years.
- Compared with a year earlier, Revenue has declined for five straight quarters, with an average decline of 2.1% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was fiscal Q2 2022 (growth of 27.3%); the worst was fiscal Q2 2026 (a decline of 7.9%).
- Per Business Quant data, CBRL's Revenue in the three fiscal quarters before Q4 2026 was $797.37 million (Q3 2026), $874.82 million (Q2 2026) and $797.19 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.68 Bn |
| 10 | Cracker Barrel Old Country Store | 1.17 Bn | 1.09 Bn | 605.13 Mn | 849.34 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 849.34 Mn |
| May 1, 2026 | 797.37 Mn |
| Jan 30, 2026 | 874.82 Mn |
| Oct 31, 2025 | 797.19 Mn |
| Aug 1, 2025 | 868.01 Mn |
| May 2, 2025 | 821.15 Mn |
| Jan 31, 2025 | 949.44 Mn |
| Nov 1, 2024 | 845.09 Mn |
| Aug 2, 2024 | 894.39 Mn |
| Apr 26, 2024 | 817.14 Mn |
| Jan 26, 2024 | 935.40 Mn |
| Oct 27, 2023 | 823.84 Mn |
| Jul 28, 2023 | 836.73 Mn |
| Apr 28, 2023 | 832.69 Mn |
| Jan 27, 2023 | 933.87 Mn |
| Oct 28, 2022 | 839.52 Mn |
| Jul 29, 2022 | 830.40 Mn |
| Apr 29, 2022 | 790.20 Mn |
| Jan 28, 2022 | 862.26 Mn |
| Oct 29, 2021 | 784.93 Mn |
Cracker Barrel Old Country Store Revenue 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=revenue&ticker=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();