Cheesecake Factory (CAKE) Non Operating Interest Expenses (2009 - 2012)
Cheesecake Factory's (CAKE) quarterly Non Operating Interest Expenses came in at $1.7 million in Q4 2012, up 42.38% year-over-year from $1.2 million in Q4 2011, and up 104.06% quarter-over-quarter from $838000.0 in Q3 2012.
Cheesecake Factory (CAKE) Non Operating Interest Expenses (2009 - 2012) Analysis & Trends
Cheesecake Factory has disclosed Non Operating Interest Expenses across 4 years of filings, most recently posting $1.7 million for Q4 2012.
- In Q4 2012, Non Operating Interest Expenses rose 42.38% year-over-year to $1.7 million; the TTM figure through Oct 2012 stood at $4.9 million (down 5.46% YoY), while the FY2012 annual figure was $4.9 million, down 70.74% from the prior year.
- Non Operating Interest Expenses came in at $1.7 million for Q4 2012 at Cheesecake Factory, up from $838000.0 in the prior quarter.
- In the past five years, Non Operating Interest Expenses ranged from a high of $10.5 million in Q2 2010 to a low of $838000.0 in Q3 2012.
- Average Non Operating Interest Expenses over 4 years is $3.1 million, with a median of $1.6 million recorded in 2010.
- Year-over-year, Non Operating Interest Expenses plunged 89.63% in 2011 and jumped 42.38% in 2012.
- Over 4 years, Non Operating Interest Expenses stood at $5.4 million in 2009, then slumped by 71.89% to $1.5 million in 2010, then declined by 20.15% to $1.2 million in 2011, then jumped by 42.38% to $1.7 million in 2012.
- Per Business Quant data, the three most recent Non Operating Interest Expenses figures were $1.7 million in Q4 2012, $838000.0 in Q3 2012, and $1.1 million in Q2 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn | - |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn | - |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn | - |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn | - |
| 10 | Cheesecake Factory | 5.20 Bn | 5.00 Bn | 756.95 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2012 | 1.71 Mn |
| Jul 3, 2012 | 838,000.00 |
| Apr 3, 2012 | 1.15 Mn |
| Jan 3, 2012 | 1.22 Mn |
| Sep 27, 2011 | 1.20 Mn |
| Jun 28, 2011 | 1.09 Mn |
| Mar 29, 2011 | 1.40 Mn |
| Dec 28, 2010 | 1.50 Mn |
| Sep 28, 2010 | 1.75 Mn |
| Jun 29, 2010 | 10.55 Mn |
| Mar 30, 2010 | 3.01 Mn |
| Dec 29, 2009 | 5.35 Mn |
| Sep 29, 2009 | 5.59 Mn |
| Jun 30, 2009 | 7.46 Mn |
Cheesecake Factory Non Operating 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=non-operating-interest-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CAKE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=CAKE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();