Grifols (GRFS) Operating Expenses (2011 - 2020)
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Analysis
Grifols (GRFS) Operating Expenses (2011 - 2020) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 15.99 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 11.12 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 11.14 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 12.53 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 9.00 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 6.66 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.84 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.09 Bn |
| 10 | Grifols | 5.96 Bn | 5.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 351.55 Mn |
| Mar 31, 2019 | 337.55 Mn |
| Jun 30, 2018 | 305.20 Mn |
| Mar 31, 2018 | 300.11 Mn |
| Jun 30, 2017 | 303.67 Mn |
| Mar 31, 2017 | 308.10 Mn |
| Dec 31, 2016 | 275.62 Mn |
| Sep 30, 2016 | 254.98 Mn |
| Jun 30, 2016 | 278.46 Mn |
| Mar 31, 2016 | 103.56 Mn |
| Dec 31, 2015 | 295.12 Mn |
| Sep 30, 2015 | 261.68 Mn |
| Jun 30, 2015 | 266.77 Mn |
| Mar 31, 2015 | 242.62 Mn |
| Dec 31, 2014 | 270.43 Mn |
| Sep 30, 2014 | 282.82 Mn |
| Jun 30, 2014 | 295,255.60 |
| Mar 31, 2014 | 269.76 Mn |
| Dec 31, 2013 | 248.00 Mn |
| Sep 30, 2013 | 224.33 Mn |
API Access
Grifols Operating 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=operating-expenses&ticker=GRFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=GRFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();