Cracker Barrel Old Country Store (CBRL) Selling, General & Administrative (2009 - 2026)
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Analysis
Cracker Barrel Old Country Store (CBRL) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.73 Bn | 194.55 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 124.84 Bn | 112.47 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 45.68 Bn | 42.18 Bn | - | 185.23 Mn |
| 4 | Yum Brands | 44.27 Bn | 41.15 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 27.05 Bn | 22.84 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 26.14 Bn | 25.23 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 17.37 Bn | 11.02 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 12.53 Bn | 11.87 Bn | - | 72.41 Mn |
| 10 | Cracker Barrel Old Country Store | 1.49 Bn | 1.41 Bn | 605.13 Mn | 65.18 Mn |
Historic Data
Download Data
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 |
API Access
Cracker Barrel Old Country Store Selling, General & Administrative 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=selling-general-and-administrative&ticker=CBRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();