Cracker Barrel Old Country Store (CBRL) Operating Expenses (2009 - 2026)
Cracker Barrel Old Country Store (CBRL) posted Operating Expenses of $65.18 million for fiscal Q4 2026 (quarter ended Jul 31, 2026), up 29.9% from $50.17 million a year earlier and up 32.0% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jul 31, 2026), Cracker Barrel Old Country Store's Operating Expenses came in at $210.58 million, down 3.2% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 7.3% (FY2021 to FY2026).
- In prior fiscal years, Cracker Barrel Old Country Store's Operating Expenses was $217.51 million in FY2025 (+5.0%), $207.06 million in FY2024 (+18.9%), $174.09 million in FY2023 (+10.6%) and $157.43 million in FY2022 (+6.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses since fiscal Q4 2010.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 2.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 36.4%; the weakest was fiscal Q2 2026, with a decline of 22.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $49.39 million (Q3 2026), $48.05 million (Q2 2026) and $47.96 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.54 Bn |
| 10 | Cracker Barrel Old Country Store | 1.20 Bn | 1.12 Bn | 605.13 Mn | 65.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 65.18 Mn |
| May 1, 2026 | 49.39 Mn |
| Jan 30, 2026 | 48.05 Mn |
| Oct 31, 2025 | 47.96 Mn |
| Aug 1, 2025 | 50.17 Mn |
| May 2, 2025 | 46.03 Mn |
| Jan 31, 2025 | 61.67 Mn |
| Nov 1, 2024 | 59.64 Mn |
| Aug 2, 2024 | 51.27 Mn |
| Apr 26, 2024 | 54.52 Mn |
| Jan 26, 2024 | 52.54 Mn |
| Oct 27, 2023 | 48.74 Mn |
| Jul 28, 2023 | 37.58 Mn |
| Apr 28, 2023 | 45.05 Mn |
| Jan 27, 2023 | 45.52 Mn |
| Oct 28, 2022 | 45.95 Mn |
| Jul 29, 2022 | 32.90 Mn |
| Apr 29, 2022 | 40.16 Mn |
| Jan 28, 2022 | 43.46 Mn |
| Oct 29, 2021 | 40.91 Mn |
Cracker Barrel Old Country Store Operating Expenses 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-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();