Sysco (SYY) Interest Expenses (2009 - 2013)
Sysco's Interest Expenses was $30.53 million in fiscal Q1 2014 (quarter ended Sep 28, 2013), down 1.1% from $30.87 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Sysco (SYY) Interest Expenses (2009 - 2013) Analysis & Trends
On a trailing twelve-month basis, Sysco's Interest Expenses was $128.16 million through Sep 28, 2013, up 11.6% year-over-year; for FY2013 (ended Jun 29, 2013), it was $128.5 million, up 13.3% from FY2012.
- Interest Expenses shows a four-year compound annual growth rate of 2.5% (FY2009 to FY2013).
- In earlier fiscal years, Interest Expenses was $113.4 million in FY2012 (-4.1%), $118.27 million in FY2011 (-5.7%), $125.48 million in FY2010 (+7.9%) and $116.32 million in FY2009.
- The fiscal Q1 2014 figure marks the lowest quarterly Interest Expenses since fiscal Q4 2012.
- Compared with a year earlier, Interest Expenses was higher in five of the last eight quarters, with growth averaging 5.2%.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q3 2013 (growth of 20.9%); the worst was fiscal Q2 2011 (a decline of 11.0%).
- Per Business Quant data, SYY's Interest Expenses in the three fiscal quarters before Q1 2014 was $31.17 million (Q4 2013), $34.22 million (Q3 2013) and $32.24 million (Q2 2013).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 32.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 3.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 22.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 77.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Performance Food | 14.29 Bn | 14.07 Bn | 2.17 Bn | 101.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2013 | 30.53 Mn |
| Jun 29, 2013 | 31.17 Mn |
| Mar 30, 2013 | 34.22 Mn |
| Dec 29, 2012 | 32.24 Mn |
| Sep 29, 2012 | 30.87 Mn |
| Jun 30, 2012 | 27.31 Mn |
| Mar 31, 2012 | 28.29 Mn |
| Dec 31, 2011 | 28.32 Mn |
| Oct 1, 2011 | 29.47 Mn |
| Jul 2, 2011 | 30.13 Mn |
| Apr 2, 2011 | 28.97 Mn |
| Jan 1, 2011 | 28.06 Mn |
| Oct 2, 2010 | 31.10 Mn |
| Jul 3, 2010 | 32.50 Mn |
| Mar 27, 2010 | 27.65 Mn |
| Dec 26, 2009 | 31.52 Mn |
| Sep 26, 2009 | 33.80 Mn |
| Jun 27, 2009 | 33.28 Mn |
| Mar 28, 2009 | 28.23 Mn |
API Access
Sysco 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=SYY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "SYY", "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=SYY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();