Grifols (GRFS) Raw Materials (2010 - 2025)
Grifols' Raw Materials came in at $1.09 billion for the quarter ended Dec 31, 2025, up 6.7% from $1.02 billion a year earlier.
Analysis
Grifols (GRFS) Raw Materials (2010 - 2025) Analysis & Trends
As of Dec 31, 2025, Grifols' Raw Materials was $1.06 billion, up 3.6% from the prior year.
- Raw Materials carries a five-year compound annual growth rate of 9.2% (years ended Dec 2020 to Dec 2025).
- Going back by year, Raw Materials was $1.02 billion in the year ended Dec 31, 2024 (-13.1%), $1.18 billion in the year ended Dec 31, 2023 (+8.2%), $1.09 billion in the year ended Dec 31, 2022 (+44.5%) and $751.66 million in the year ended Dec 31, 2021 (+10.6%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Raw Materials since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Grifols | 4.97 Bn | 4.59 Bn | 3.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.09 Bn |
| Dec 31, 2024 | 1.02 Bn |
| Dec 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 1.09 Bn |
| Dec 31, 2021 | 751.66 Mn |
| Dec 31, 2020 | 709.88 Mn |
| Dec 31, 2019 | 847.97 Mn |
| Dec 31, 2018 | 738.94 Mn |
| Dec 31, 2017 | 534.99 Mn |
| Dec 31, 2016 | 457.08 Mn |
| Sep 30, 2011 | 42.44 Mn |
| Sep 30, 2010 | 17.69 Mn |
API Access
Grifols Raw Materials 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=raw-materials&ticker=GRFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=GRFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();