Waste Management (WM) Interest Expenses (2009 - 2014)
Waste Management's Interest Expenses was $121 million in Q1 2014, unchanged from $121 million a year earlier and up 2.5% from the prior quarter.
Waste Management (WM) Interest Expenses (2009 - 2014) Analysis & Trends
On a trailing twelve-month basis, Waste Management's Interest Expenses was $480 million through Mar 31, 2014, down 1.4% year-over-year; for FY2013, it was $481 million, down 1.4% from FY2012.
- Interest Expenses shows a four-year compound annual growth rate of 3.1% (FY2009 to FY2013).
- In earlier years, Interest Expenses was $488 million in FY2012 (+1.5%), $481 million in FY2011 (+1.7%), $473 million in FY2010 (+11.0%) and $426 million in FY2009.
- Quarterly Interest Expenses has moved between $104 million (Q3 2009) and $126 million (Q3 2010) over five years.
- Compared with a year earlier, Interest Expenses was higher in three of the last eight quarters, with an average decline of 0.2%.
- The best year-over-year quarter for Interest Expenses over five years was Q3 2010 (growth of 21.2%); the worst was Q3 2011 (a decline of 6.3%).
- Per Business Quant data, WM's Interest Expenses in the three quarters before Q1 2014 was $118 million (Q4 2013), $119 million (Q3 2013) and $122 million (Q2 2013).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 94,000.00 |
| 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 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=WM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=WM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();