Iron Mountain (IRM) Non Operating Interest Expenses (2009 - 2014)
Iron Mountain's Non Operating Interest Expenses was $72.98 million in Q4 2014, up 14.9% from $63.52 million a year earlier and up 15.4% from the prior quarter.
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Analysis
Iron Mountain (IRM) Non Operating Interest Expenses (2009 - 2014) Analysis & Trends
For FY2014, Non Operating Interest Expenses at Iron Mountain came in at $260.72 million, up 2.6% from FY2013.
- Non Operating Interest Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 4.2% (FY2009 to FY2014).
- In earlier years, Non Operating Interest Expenses was $254.17 million in FY2013 (+4.8%), $242.6 million in FY2012 (+18.2%), $205.26 million in FY2011 (+0.3%) and $204.56 million in FY2010 (-3.8%).
- The Q4 2014 figure marks the highest quarterly Non Operating Interest Expenses in data going back to Q3 2009.
- Compared with a year earlier, Non Operating Interest Expenses was higher in four of the last eight quarters, with growth averaging 3.7%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2011 (growth of 23.5%); the worst was Q1 2011 (a decline of 14.0%).
- Per Business Quant data, IRM's Non Operating Interest Expenses in the three quarters before Q4 2014 was $63.22 million (Q3 2014), $62.2 million (Q2 2014) and $62.31 million (Q1 2014).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | - |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | - |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 9.39 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 7.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2014 | 72.98 Mn |
| Sep 30, 2014 | 63.22 Mn |
| Jun 30, 2014 | 62.20 Mn |
| Mar 31, 2014 | 62.31 Mn |
| Dec 31, 2013 | 63.52 Mn |
| Sep 30, 2013 | 64.49 Mn |
| Jun 30, 2013 | 62.99 Mn |
| Mar 31, 2013 | 63.18 Mn |
| Dec 31, 2012 | 64.22 Mn |
| Sep 30, 2012 | 61.38 Mn |
| Jun 30, 2012 | 58.22 Mn |
| Mar 31, 2012 | 58.78 Mn |
| Dec 31, 2011 | 57.99 Mn |
| Sep 30, 2011 | 50.05 Mn |
| Jun 30, 2011 | 48.60 Mn |
| Mar 31, 2011 | 48.62 Mn |
| Dec 31, 2010 | 46.97 Mn |
| Sep 30, 2010 | 52.05 Mn |
| Jun 30, 2010 | 52.62 Mn |
| Mar 31, 2010 | 56.56 Mn |
API Access
Iron Mountain 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=IRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "IRM", "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=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();