Zimmer Biomet Holdings (ZBH) Non Operating Interest Expenses (2011 - 2018)
Zimmer Biomet Holdings (ZBH) posted Non Operating Interest Expenses of $68.3 million for Q3 2018, down 17.0% from $82.3 million a year earlier and down 10.0% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Non Operating Interest Expenses (2011 - 2018) Analysis & Trends
For the trailing twelve months through Sep 30, 2018, Non Operating Interest Expenses at Zimmer Biomet Holdings was $303.1 million, down 10.2% year-over-year; for FY2017, it was $327.5 million, down 8.5% from FY2016.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 35.1% (FY2012 to FY2017).
- In prior years, Zimmer Biomet Holdings' Non Operating Interest Expenses was $357.9 million in FY2016 (+24.9%), $286.6 million in FY2015 (+354.2%), $63.1 million in FY2014 (-10.0%) and $70.1 million in FY2013 (-3.8%).
- The Q3 2018 figure stands as the lowest quarterly Non Operating Interest Expenses since Q1 2015.
- On a year-over-year basis, Non Operating Interest Expenses has declined in each of the last seven quarters, with an average decline of 7.9% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2015, with growth of 462.5%; the weakest was Q1 2014, with a decline of 17.6%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $75.9 million (Q2 2018), $78.9 million (Q1 2018) and $80 million (Q4 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Zimmer Biomet Holdings | 16.94 Bn | 14.23 Bn | 1.54 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 68.30 Mn |
| Jun 30, 2018 | 75.90 Mn |
| Mar 31, 2018 | 78.90 Mn |
| Dec 31, 2017 | 80.00 Mn |
| Sep 30, 2017 | 82.30 Mn |
| Jun 30, 2017 | 82.30 Mn |
| Mar 31, 2017 | 82.90 Mn |
| Dec 31, 2016 | 90.10 Mn |
| Sep 30, 2016 | 91.50 Mn |
| Jun 30, 2016 | 88.10 Mn |
| Mar 31, 2016 | 88.20 Mn |
| Dec 31, 2015 | 90.00 Mn |
| Sep 30, 2015 | 90.80 Mn |
| Jun 30, 2015 | 82.70 Mn |
| Mar 31, 2015 | 23.10 Mn |
| Dec 31, 2014 | 16.00 Mn |
| Sep 30, 2014 | 16.30 Mn |
| Jun 30, 2014 | 15.80 Mn |
| Mar 31, 2014 | 15.00 Mn |
| Dec 31, 2013 | 16.50 Mn |
Zimmer Biomet Holdings 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=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "ZBH", "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=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();