Cracker Barrel Old Country Store (CBRL) Interest Expenses (2009 - 2019)
Cracker Barrel Old Country Store (CBRL) recorded Interest Expenses of $3.58 million in fiscal Q1 2020 (quarter ended Nov 1, 2019), down 17.7% from $4.35 million a year earlier and down 7.0% from the prior quarter.
Cracker Barrel Old Country Store (CBRL) Interest Expenses (2009 - 2019) Analysis & Trends
On a TTM basis, Cracker Barrel Old Country Store's Interest Expenses came in at $15.72 million as of Nov 1, 2019, down 1.1% year-over-year; for FY2019 (ended Aug 2, 2019), it was $16.49 million, up 8.7% from FY2018.
- Annual Interest Expenses has increased for three straight fiscal years, though with a five-year compound annual growth rate of -1.2% (FY2014 to FY2019).
- Across earlier fiscal years, Interest Expenses came in at $15.17 million in FY2018 (+6.3%), $14.27 million in FY2017 (+1.6%), $14.05 million in FY2016 (-15.8%) and $16.68 million in FY2015 (-5.0%).
- The fiscal Q1 2020 figure is the lowest quarterly Interest Expenses since fiscal Q4 2017.
- On a year-over-year basis, Interest Expenses rose in six of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 20.2% in fiscal Q1 2019, against a decline of 23.8% in fiscal Q2 2016 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $3.85 million (Q4 2019), $4.11 million (Q3 2019) and $4.18 million (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Cracker Barrel Old Country Store | 1.18 Bn | 1.10 Bn | 605.13 Mn | - |
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 |
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();