Jack In The Box (JACK) Interest Expenses (2009 - 2011)
Jack In The Box's Interest Expenses came in at $3.95 million for fiscal Q2 2011 (quarter ended Apr 17, 2011), up 1.9% from $3.87 million a year earlier but down 14.4% from the prior quarter.
Jack In The Box (JACK) Interest Expenses (2009 - 2011) Analysis & Trends
Over the trailing twelve months to Apr 17, 2011, Jack In The Box reported Interest Expenses of $15.14 million, down 14.8% year-over-year; for FY2010 (ended Oct 3, 2010), it came in at $15.89 million, down 23.5% from FY2009.
- Going back by fiscal year, Interest Expenses was $20.77 million in FY2009.
- The five-year range for quarterly Interest Expenses is $2.42 million (fiscal Q3 2010) to $5.44 million (fiscal Q1 2010).
- Year-over-year, Interest Expenses increased in two of the last four quarters, with an average decline of 14.1%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | - |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | - |
| 10 | Jack In The Box | 214.56 Mn | 214.56 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 17, 2011 | 3.95 Mn |
| Jan 23, 2011 | 4.61 Mn |
| Oct 3, 2010 | 4.17 Mn |
| Jul 4, 2010 | 2.42 Mn |
| Apr 11, 2010 | 3.87 Mn |
| Jan 17, 2010 | 5.44 Mn |
| Sep 27, 2009 | 4.10 Mn |
| Jul 5, 2009 | 4.37 Mn |
Jack In The Box 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=JACK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "JACK", "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=JACK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();