Baxter International (BAX) Interest Expenses (2009 - 2019)
Baxter International's Interest Expenses came in at $28 million for Q2 2019, up 16.7% from $24 million a year earlier and up 12.0% from the prior quarter.
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Analysis
Baxter International (BAX) Interest Expenses (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Jun 30, 2019, Baxter International reported Interest Expenses of $100 million, up 9.9% year-over-year; for FY2018, it came in at $93 million, up 9.4% from FY2017.
- Interest Expenses carries a five-year compound annual growth rate of -9.7% (FY2013 to FY2018).
- Going back by year, Interest Expenses was $85 million in FY2017 (-4.5%), $89 million in FY2016 (-39.0%), $146 million in FY2015 (-12.6%) and $167 million in FY2014 (+7.7%).
- The Q2 2019 figure represents the highest quarterly Interest Expenses since Q1 2016.
- Year-over-year, Interest Expenses increased in seven of the last eight quarters, with growth averaging 11.1%.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2017 (growth of 31.3%), and the weakest in Q2 2016 (a decline of 55.6%).
- Business Quant data shows BAX's Interest Expenses at $25 million (Q1 2019), $23 million (Q4 2018) and $24 million (Q3 2018) in the three quarters before Q2 2019.
Peer Set
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 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 28.00 Mn |
| Mar 31, 2019 | 25.00 Mn |
| Dec 31, 2018 | 23.00 Mn |
| Sep 30, 2018 | 24.00 Mn |
| Jun 30, 2018 | 24.00 Mn |
| Mar 31, 2018 | 22.00 Mn |
| Dec 31, 2017 | 23.00 Mn |
| Sep 30, 2017 | 22.00 Mn |
| Jun 30, 2017 | 21.00 Mn |
| Mar 31, 2017 | 20.00 Mn |
| Dec 31, 2016 | 20.00 Mn |
| Sep 30, 2016 | 20.00 Mn |
| Jun 30, 2016 | 16.00 Mn |
| Mar 31, 2016 | 33.00 Mn |
| Dec 31, 2015 | 37.00 Mn |
| Sep 30, 2015 | 38.00 Mn |
| Jun 30, 2015 | 36.00 Mn |
| Mar 31, 2015 | 35.00 Mn |
| Dec 31, 2014 | 36.00 Mn |
| Sep 30, 2014 | 36.00 Mn |
API Access
Baxter International 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=BAX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "BAX", "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=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();