Cracker Barrel Old Country Store (CBRL) Interest Expenses (2009 - 2019)
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Analysis
Cracker Barrel Old Country Store (CBRL) Interest Expenses (2009 - 2019) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.73 Bn | 194.55 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 124.84 Bn | 112.47 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 45.68 Bn | 42.18 Bn | - | - |
| 4 | Yum Brands | 44.27 Bn | 41.15 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 27.05 Bn | 22.84 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.14 Bn | 25.23 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 125.00 Mn |
| 8 | Yum China Holdings | 17.37 Bn | 11.02 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.53 Bn | 11.87 Bn | - | - |
| 10 | Cracker Barrel Old Country Store | 1.49 Bn | 1.41 Bn | 605.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 1, 2019 | 3.58 Mn |
| Aug 2, 2019 | 3.85 Mn |
| May 3, 2019 | 4.11 Mn |
| Feb 1, 2019 | 4.18 Mn |
| Nov 2, 2018 | 4.35 Mn |
| Aug 3, 2018 | 4.28 Mn |
| Apr 27, 2018 | 3.59 Mn |
| Jan 26, 2018 | 3.68 Mn |
| Oct 27, 2017 | 3.62 Mn |
| Jul 28, 2017 | 3.57 Mn |
| Apr 28, 2017 | 3.39 Mn |
| Jan 27, 2017 | 3.64 Mn |
| Oct 28, 2016 | 3.68 Mn |
| Jul 29, 2016 | 3.50 Mn |
| Apr 29, 2016 | 3.44 Mn |
| Jan 29, 2016 | 3.57 Mn |
| Oct 30, 2015 | 3.54 Mn |
| Jul 31, 2015 | 3.54 Mn |
| May 1, 2015 | 4.03 Mn |
| Jan 30, 2015 | 4.68 Mn |
API Access
Cracker Barrel Old Country Store Interest 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=interest-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=CBRL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();