Conagra Brands (CAG) Non Operating Interest Expenses (2009 - 2013)
Conagra Brands' Non Operating Interest Expenses came in at $102.3 million for fiscal Q4 2013 (quarter ended May 26, 2013), up 101.4% from $50.8 million a year earlier and up 44.9% from the prior quarter.
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Analysis
Conagra Brands (CAG) Non Operating Interest Expenses (2009 - 2013) Analysis & Trends
For FY2013 (ended May 26, 2013), Conagra Brands' Non Operating Interest Expenses was $275.6 million, up 35.1% from FY2012.
- Non Operating Interest Expenses has increased in each of the last three fiscal years, with a four-year compound annual growth rate of 10.3% (FY2009 to FY2013).
- Going back by fiscal year, Non Operating Interest Expenses was $204 million in FY2012 (+14.9%), $177.5 million in FY2011 (+10.7%), $160.4 million in FY2010 (-13.8%) and $186 million in FY2009.
- The fiscal Q4 2013 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q3 2009.
- Year-over-year, Non Operating Interest Expenses has increased for three consecutive quarters, with growth averaging 27.9% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q4 2013 (growth of 101.4%), and the weakest in fiscal Q4 2010 (a decline of 24.2%).
- Business Quant data shows CAG's Non Operating Interest Expenses at $70.6 million (Q3 2013), $53.4 million (Q2 2013) and $49.3 million (Q1 2013) in the three fiscal quarters before Q4 2013.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| May 26, 2013 | 102.30 Mn |
| Feb 24, 2013 | 70.60 Mn |
| Nov 25, 2012 | 53.40 Mn |
| Aug 26, 2012 | 49.30 Mn |
| May 27, 2012 | 50.80 Mn |
| Feb 26, 2012 | 49.70 Mn |
| Nov 27, 2011 | 50.60 Mn |
| Aug 28, 2011 | 52.90 Mn |
| May 29, 2011 | 54.90 Mn |
| Feb 27, 2011 | 51.60 Mn |
| Nov 28, 2010 | 33.70 Mn |
| Aug 29, 2010 | 37.30 Mn |
| May 30, 2010 | 38.80 Mn |
| Feb 28, 2010 | 39.70 Mn |
| Nov 29, 2009 | 40.50 Mn |
| Aug 30, 2009 | 41.40 Mn |
| May 31, 2009 | 51.20 Mn |
| Feb 22, 2009 | 42.00 Mn |
API Access
Conagra Brands 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=CAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CAG", "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=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();