Cracker Barrel Old Country Store (CBRL) Change in Accured Expenses (2009 - 2010)
Cracker Barrel Old Country Store (CBRL) reported Change in Accured Expenses of $670,000 for FY2026 (year ended Jul 31, 2026), down 48.4% from $1.3 million in FY2025.
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Analysis
Cracker Barrel Old Country Store (CBRL) Change in Accured Expenses (2009 - 2010) Analysis & Trends
Dating back to FY2010, Cracker Barrel Old Country Store's Change in Accured Expenses record includes 17 fiscal years.
- The FY2026 figure ranks as the lowest annual Change in Accured Expenses since FY2023.
- According to Business Quant data, Change in Accured Expenses came in at $1.3 million in FY2025 (-68.0%), $4.06 million in FY2024, -$585,000 in FY2023 and $1.28 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | Cracker Barrel Old Country Store | 1.25 Bn | 1.17 Bn | 605.13 Mn | - |
API Access
Cracker Barrel Old Country Store Change in Accured 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=change-in-accured-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();