Iron Mountain (IRM) Interest Expenses (2009 - 2014)
Iron Mountain (IRM) recorded Interest Expenses of $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) Interest Expenses (2009 - 2014) Analysis & Trends
For FY2014, Iron Mountain reported Interest Expenses of $260.72 million, up 2.6% from FY2013.
- Annual Interest Expenses has increased for four straight years, with a five-year compound annual growth rate of 4.2% (FY2009 to FY2014).
- Across earlier years, Interest Expenses came in at $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 is the highest quarterly Interest Expenses in data going back to Q3 2009.
- On a year-over-year basis, Interest Expenses rose in four of the last eight quarters, with growth averaging 3.7%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 23.5% in Q4 2011, against a decline of 14.0% in Q1 2011 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Int Expense (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 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=IRM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=IRM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();