Greif (GEF-B) Interest Expenses (2009 - 2013)
Greif (GEF-B) reported Interest Expenses of $19.2 million for fiscal Q3 2013 (quarter ended Jul 31, 2013), down 12.3% from $21.9 million a year earlier and down 10.3% from the prior quarter.
Greif (GEF-B) Interest Expenses (2009 - 2013) Analysis & Trends
Over the twelve months ended Jul 31, 2013, Greif's Interest Expenses came in at $84 million, down 7.0% year-over-year; for FY2012 (ended Oct 31, 2012), it came in at $89.9 million, up 18.3% from FY2011.
- Interest Expenses has increased for three consecutive fiscal years, with a three-year compound annual growth rate of 18.8% (FY2009 to FY2012).
- By fiscal year, Interest Expenses came in at $76 million in FY2011 (+16.0%), $65.5 million in FY2010 (+22.2%) and $53.59 million in FY2009.
- The fiscal Q3 2013 figure ranks as the lowest quarterly Interest Expenses since fiscal Q3 2011.
- Year over year, Interest Expenses has now declined in each of the last four quarters, with growth averaging 12.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was fiscal Q1 2012 (growth of 44.0%); the low point was fiscal Q3 2013 (a decline of 12.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2013 came in at $21.4 million (Q2 2013), $21.6 million (Q1 2013) and $21.8 million (Q4 2012).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2013 | 19.20 Mn |
| Apr 30, 2013 | 21.40 Mn |
| Jan 31, 2013 | 21.60 Mn |
| Oct 31, 2012 | 21.80 Mn |
| Jul 31, 2012 | 21.90 Mn |
| Apr 30, 2012 | 23.30 Mn |
| Jan 31, 2012 | 22.90 Mn |
| Oct 31, 2011 | 22.20 Mn |
| Jul 31, 2011 | 17.50 Mn |
| Apr 30, 2011 | 17.70 Mn |
| Jan 31, 2011 | 15.90 Mn |
| Oct 31, 2010 | 17.92 Mn |
| Jul 31, 2010 | 15.94 Mn |
| Apr 30, 2010 | 16.76 Mn |
| Jan 31, 2010 | 14.89 Mn |
| Oct 31, 2009 | 15.87 Mn |
| Jul 31, 2009 | 12.13 Mn |
Greif 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=GEF-B&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "GEF-B", "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=GEF-B&period=max&api_key=YOUR_API_KEY");
const data = await res.json();