Cracker Barrel Old Country Store (CBRL) EBITDA (2009 - 2026)
Cracker Barrel Old Country Store (CBRL) recorded EBITDA of $44.49 million in fiscal Q4 2026 (quarter ended Jul 31, 2026), up 24.1% from $35.84 million a year earlier and up 17.8% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Cracker Barrel Old Country Store reported EBITDA of $110.64 million, down 37.6% from FY2025.
- Annual EBITDA has a five-year compound annual growth rate of -25.3% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $177.27 million in FY2025 (+13.0%), $156.87 million in FY2024 (-30.3%), $225.1 million in FY2023 (-12.3%) and $256.57 million in FY2022 (-46.0%).
- The fiscal Q4 2026 figure is the highest quarterly EBITDA since fiscal Q3 2025.
- On a year-over-year basis, EBITDA rose in three of the last seven quarters, with growth averaging 47.3%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 405.8% in fiscal Q3 2025, against a decline of 79.0% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $37.76 million (Q3 2026), $30.98 million (Q2 2026) and -$2.6 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.37 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 623.92 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 715.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 793.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 663.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 793.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 201.13 Mn |
| 10 | Cracker Barrel Old Country Store | 1.20 Bn | 1.12 Bn | 605.13 Mn | 44.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 44.49 Mn |
| May 1, 2026 | 37.76 Mn |
| Jan 30, 2026 | 30.98 Mn |
| Oct 31, 2025 | -2.60 Mn |
| Aug 1, 2025 | 35.84 Mn |
| May 2, 2025 | 45.85 Mn |
| Jan 31, 2025 | 59.36 Mn |
| Nov 1, 2024 | 36.23 Mn |
| Aug 2, 2024 | 51.20 Mn |
| Apr 26, 2024 | 9.07 Mn |
| Jan 26, 2024 | 58.52 Mn |
| Oct 27, 2023 | 38.08 Mn |
| Jul 28, 2023 | 68.92 Mn |
| Apr 28, 2023 | 43.23 Mn |
| Jan 27, 2023 | 64.54 Mn |
| Oct 28, 2022 | 48.41 Mn |
| Jul 29, 2022 | 59.25 Mn |
| Apr 29, 2022 | 56.38 Mn |
| Jan 28, 2022 | 72.24 Mn |
| Oct 29, 2021 | 68.70 Mn |
Cracker Barrel Old Country Store EBITDA 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=ebitda&ticker=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();