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 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn |
| 10 | Grifols | 5.11 Bn | 1.45 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.10 Bn |
| Dec 31, 2024 | 994.31 Mn |
| Dec 31, 2023 | 1.21 Bn |
| Dec 31, 2022 | 1.14 Bn |
| Dec 31, 2021 | 744.12 Mn |
| Dec 31, 2020 | 732.33 Mn |
| Dec 31, 2019 | 858.20 Mn |
| Dec 31, 2018 | 740.62 Mn |
| Dec 31, 2017 | 542.60 Mn |
| Dec 31, 2016 | 447.68 Mn |
| Sep 30, 2011 | 40.76 Mn |
| Sep 30, 2010 | 18.67 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();