Orthofix Medical (OFIX) Interest Expenses (2010 - 2015)
Orthofix Medical's Interest Expenses came in at $272,000 for Q1 2015, down 41.9% from $468,000 a year earlier and down 36.7% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Interest Expenses (2010 - 2015) Analysis & Trends
Over the trailing twelve months to Mar 31, 2015, Orthofix Medical reported Interest Expenses of $1.59 million, down 9.4% year-over-year; for FY2014, it was $1.79 million, down 2.3% from FY2013.
- Interest Expenses has declined in each of the last five years, with a five-year compound annual growth rate of -40.9% (FY2009 to FY2014).
- Going back by year, Interest Expenses was $1.83 million in FY2013 (-56.1%), $4.16 million in FY2012 (-23.5%), $5.44 million in FY2011 (-51.8%) and $11.29 million in FY2010 (-54.5%).
- The Q1 2015 figure represents the lowest quarterly Interest Expenses since Q4 2012.
- Year-over-year, Interest Expenses increased in four of the last eight quarters, with an average decline of 4.5%.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2014 (growth of 47.8%), and the weakest in Q3 2012 (a decline of 79.5%).
- Business Quant data shows OFIX's Interest Expenses at $430,000 (Q4 2014), $395,000 (Q3 2014) and $492,000 (Q2 2014) in the three quarters before Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 265.71 Bn | 242.23 Bn | 5.13 Bn | 417.00 Mn |
| 2 | Abbott Laboratories | 189.37 Bn | 163.23 Bn | 7.39 Bn | 350.00 Mn |
| 3 | Danaher | 164.78 Bn | 144.43 Bn | 3.84 Bn | 135.00 Mn |
| 4 | Intuitive Surgical | 157.85 Bn | 138.13 Bn | 2.08 Bn | - |
| 5 | Medtronic | 129.66 Bn | 94.91 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 121.82 Bn | 108.01 Bn | 4.25 Bn | 143.00 Mn |
| 7 | Boston Scientific | 63.42 Bn | 58.86 Bn | 3.43 Bn | 100.00 Mn |
| 8 | Edwards Lifesciences | 59.49 Bn | 42.69 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.38 Bn | 55.53 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Orthofix Medical | 314.16 Mn | -54.81 Mn | 149.71 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 272,000.00 |
| Dec 31, 2014 | 430,000.00 |
| Sep 30, 2014 | 395,000.00 |
| Jun 30, 2014 | 492,000.00 |
| Mar 31, 2014 | 468,000.00 |
| Dec 31, 2013 | 291,000.00 |
| Sep 30, 2013 | 539,000.00 |
| Jun 30, 2013 | 455,000.00 |
| Mar 31, 2013 | 542,000.00 |
| Dec 31, 2012 | 211,000.00 |
| Sep 30, 2012 | 464,000.00 |
| Jun 30, 2012 | 1.27 Mn |
| Mar 31, 2012 | 2.22 Mn |
| Dec 31, 2011 | -1.44 Mn |
| Sep 30, 2011 | 2.27 Mn |
| Jun 30, 2011 | 2.20 Mn |
| Mar 31, 2011 | 2.42 Mn |
| Dec 31, 2010 | -3.49 Mn |
| Sep 30, 2010 | 3.48 Mn |
| Jun 30, 2010 | 5.45 Mn |
API Access
Orthofix Medical 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=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "OFIX", "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=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();