J M Smucker (SJM) Non Operating Interest Expenses (2009 - 2013)
J M Smucker (SJM) posted Non Operating Interest Expenses of $24.23 million for fiscal Q3 2013 (quarter ended Jan 31, 2013), up 2.7% from $23.6 million a year earlier but down 0.2% from the prior quarter.
J M Smucker (SJM) Non Operating Interest Expenses (2009 - 2013) Analysis & Trends
For the trailing twelve months through Jan 31, 2013, Non Operating Interest Expenses at J M Smucker was $95.2 million, up 27.1% year-over-year; for FY2012 (ended Apr 30, 2012), it was $81.3 million, up 16.8% from FY2011.
- Annual Non Operating Interest Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 9.2% (FY2009 to FY2012).
- In prior fiscal years, J M Smucker's Non Operating Interest Expenses was $69.59 million in FY2011 (+6.8%), $65.19 million in FY2010 (+4.3%) and $62.48 million in FY2009.
- Quarterly Non Operating Interest Expenses has run from a low of $14.24 million in fiscal Q3 2010 to a high of $24.27 million in fiscal Q2 2013 over five years.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last six quarters, with growth averaging 20.4% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q1 2013, with growth of 54.9%; the weakest was fiscal Q1 2011, with a decline of 12.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $24.27 million (Q2 2013), $23.88 million (Q1 2013) and $22.83 million (Q4 2012).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Conagra Brands | 6.43 Bn | 5.74 Bn | 618.70 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2013 | 24.23 Mn |
| Oct 31, 2012 | 24.27 Mn |
| Jul 31, 2012 | 23.88 Mn |
| Apr 30, 2012 | 22.83 Mn |
| Jan 31, 2012 | 23.60 Mn |
| Oct 31, 2011 | 19.45 Mn |
| Jul 31, 2011 | 15.42 Mn |
| Apr 30, 2011 | 16.42 Mn |
| Jan 31, 2011 | 18.13 Mn |
| Oct 31, 2010 | 18.51 Mn |
| Jul 31, 2010 | 16.54 Mn |
| Apr 30, 2010 | 14.53 Mn |
| Jan 31, 2010 | 14.24 Mn |
| Oct 31, 2009 | 17.47 Mn |
| Jul 31, 2009 | 18.95 Mn |
J M Smucker 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=SJM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SJM", "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=SJM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();