Conagra Brands (CAG) Interest Expenses (2009 - 2013)
Conagra Brands' 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.
Conagra Brands (CAG) Interest Expenses (2009 - 2013) Analysis & Trends
For FY2013 (ended May 26, 2013), Conagra Brands' Interest Expenses was $275.6 million, up 35.1% from FY2012.
- 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, 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 Interest Expenses in data going back to fiscal Q3 2009.
- Year-over-year, 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 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 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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 |
|---|---|
| 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 |
Conagra Brands 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=CAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=CAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();