Waste Management (WM) Non Operating Interest Expenses (2009 - 2014)
Waste Management (WM) reported Non Operating Interest Expenses of $121 million for Q1 2014, unchanged from $121 million a year earlier and up 2.5% from the prior quarter.
Waste Management (WM) Non Operating Interest Expenses (2009 - 2014) Analysis & Trends
Over the twelve months ended Mar 31, 2014, Waste Management's Non Operating Interest Expenses came in at $480 million, down 1.4% year-over-year; for FY2013, it came in at $481 million, down 1.4% from FY2012.
- Non Operating Interest Expenses has a four-year compound annual growth rate of 3.1% (FY2009 to FY2013).
- By year, Non Operating Interest Expenses came in at $488 million in FY2012 (+1.5%), $481 million in FY2011 (+1.7%), $473 million in FY2010 (+11.0%) and $426 million in FY2009.
- Five-year quarterly Non Operating Interest Expenses spans a low of $104 million in Q3 2009 and a high of $126 million in Q3 2010.
- Year over year, Non Operating Interest Expenses gained in three of the last eight quarters, with an average decline of 0.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q3 2010 (growth of 21.2%); the low point was Q3 2011 (a decline of 6.3%).
- Per Business Quant data, the three quarters before Q1 2014 came in at $118 million (Q4 2013), $119 million (Q3 2013) and $122 million (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Waste Management | 81.64 Bn | 80.55 Bn | 2.73 Bn | - |
| 2 | Republic Services | 64.27 Bn | 63.89 Bn | 1.87 Bn | 151.00 Mn |
| 3 | Waste Connections | 38.82 Bn | 38.45 Bn | 1.08 Bn | 91.20 Mn |
| 4 | Clean Harbors | 16.38 Bn | 13.39 Bn | 608.78 Mn | - |
| 5 | GFL Environmental | 15.51 Bn | 13.19 Bn | 385.80 Mn | 163.90 Mn |
| 6 | Casella Waste Systems | 5.03 Bn | 4.15 Bn | 178.80 Mn | 17.94 Mn |
| 7 | Onterris | 470.12 Mn | 429.40 Mn | 82.26 Mn | - |
| 8 | Perma Fix Environmental Services | 331.90 Mn | 223.46 Mn | -2.50 Mn | 73,000.00 |
| 9 | Deep Isolation Nuclear | 182.23 Mn | 182.23 Mn | 707,000.00 | - |
| 10 | Comstock | 177.73 Mn | 181.05 Mn | -896,073.00 | 222,406.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2014 | 121.00 Mn |
| Dec 31, 2013 | 118.00 Mn |
| Sep 30, 2013 | 119.00 Mn |
| Jun 30, 2013 | 122.00 Mn |
| Mar 31, 2013 | 121.00 Mn |
| Dec 31, 2012 | 122.00 Mn |
| Sep 30, 2012 | 123.00 Mn |
| Jun 30, 2012 | 121.00 Mn |
| Mar 31, 2012 | 122.00 Mn |
| Dec 31, 2011 | 123.00 Mn |
| Sep 30, 2011 | 118.00 Mn |
| Jun 30, 2011 | 119.00 Mn |
| Mar 31, 2011 | 121.00 Mn |
| Dec 31, 2010 | 119.00 Mn |
| Sep 30, 2010 | 126.00 Mn |
| Jun 30, 2010 | 116.00 Mn |
| Mar 31, 2010 | 112.00 Mn |
| Dec 31, 2009 | 110.00 Mn |
| Sep 30, 2009 | 104.00 Mn |
| Jun 30, 2009 | 107.00 Mn |
Waste Management 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=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "WM", "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=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();