Zimmer Biomet Holdings (ZBH) Interest Expenses (2011 - 2018)
Zimmer Biomet Holdings (ZBH) recorded Interest Expenses of $68.3 million in Q3 2018, down 17.0% from $82.3 million a year earlier and down 10.0% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Interest Expenses (2011 - 2018) Analysis & Trends
On a TTM basis, Zimmer Biomet Holdings' Interest Expenses came in at $303.1 million as of Sep 30, 2018, down 10.2% year-over-year; for FY2017, it came in at $327.5 million, down 8.5% from FY2016.
- Annual Interest Expenses has a five-year compound annual growth rate of 35.1% (FY2012 to FY2017).
- Across earlier years, Interest Expenses came in at $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 is the lowest quarterly Interest Expenses since Q1 2015.
- On a year-over-year basis, Interest Expenses has declined for seven consecutive quarters, with an average decline of 7.9% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 462.5% in Q4 2015, against a decline of 17.6% in Q1 2014 at the low end.
- Per Business Quant, the preceding three quarters came in at $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) | Int Expense (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 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=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();