Grifols (GRFS) Price to Book (2011 - 2025)
Grifols' Price to Book came in at 0.71 for the quarter ended Dec 31, 2025, up 26.2% from 0.56 a year earlier.
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Analysis
Grifols (GRFS) Price to Book (2011 - 2025) Analysis & Trends
Going back to the quarter ended Jun 30, 2011, Grifols' Price to Book data covers 38 quarters.
- Going back by year, Price to Book was 0.56 in the year ended Dec 31, 2024 (-40.2%), 0.94 in the year ended Dec 31, 2023 (+39.1%), 0.68 in the year ended Dec 31, 2022 (-31.0%) and 0.99 in the year ended Dec 31, 2021 (-35.6%).
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Price to Book since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 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 |
|---|---|
| Dec 31, 2025 | 0.71 |
| Dec 31, 2024 | 0.56 |
| Dec 31, 2023 | 0.94 |
| Dec 31, 2022 | 0.68 |
| Dec 31, 2021 | 0.99 |
| Dec 31, 2020 | 1.53 |
| Sep 30, 2020 | 1.42 |
| Mar 31, 2020 | 1.74 |
| Dec 31, 2019 | 2.08 |
| Sep 30, 2019 | 2.37 |
| Dec 31, 2018 | 2.34 |
| Sep 30, 2018 | 3.03 |
| Jun 30, 2018 | 3.21 |
| Mar 31, 2018 | 2.42 |
| Dec 31, 2017 | 3.61 |
| Jun 30, 2017 | 3.53 |
| Dec 31, 2016 | 2.78 |
| Sep 30, 2016 | 2.76 |
| Jun 30, 2016 | 3.00 |
| Mar 31, 2016 | 2.83 |
API Access
Grifols Price to Book 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=price-to-book&ticker=GRFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GRFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();