Grifols (GRFS) Interest Expenses (2010 - 2018)
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Analysis
Grifols (GRFS) Interest Expenses (2010 - 2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Grifols | 5.96 Bn | 5.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | -85.10 Mn |
| Jun 30, 2017 | -76.41 Mn |
| Dec 31, 2016 | 464.37 Mn |
| Sep 30, 2016 | -68.29 Mn |
| Jun 30, 2016 | -71.44 Mn |
| Dec 31, 2015 | 460.52 Mn |
| Sep 30, 2015 | -67.25 Mn |
| Jun 30, 2015 | -64.73 Mn |
| Mar 31, 2015 | -68.65 Mn |
| Dec 31, 2014 | -67.23 Mn |
| Sep 30, 2014 | -71.27 Mn |
| Jun 30, 2014 | -73,016.50 |
| Mar 31, 2014 | -88.15 Mn |
| Dec 31, 2013 | -81.29 Mn |
| Sep 30, 2013 | -76.75 Mn |
| Jun 30, 2013 | -82.70 Mn |
| Mar 31, 2013 | -77.92 Mn |
| Dec 31, 2012 | -81.83 Mn |
| Sep 30, 2012 | -89.61 Mn |
| Jun 30, 2012 | -87.29 Mn |
API Access
Grifols 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=GRFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "GRFS", "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=GRFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();