Grifols (GRFS) Land & Improvements (2019 - 2025)
Grifols' Land & Improvements came in at $1.08 billion for the quarter ended Dec 31, 2025, up 4.9% from $1.03 billion a year earlier.
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Analysis
Grifols (GRFS) Land & Improvements (2019 - 2025) Analysis & Trends
As of Dec 31, 2025, Grifols' Land & Improvements was $1.05 billion, up 1.8% from the prior year.
- Land & Improvements has increased in each of the last three years, with a five-year compound annual growth rate of 6.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Land & Improvements was $1.03 billion in the year ended Dec 31, 2024 (+1.7%), $1.02 billion in the year ended Dec 31, 2023 (+1.6%), $1 billion in the year ended Dec 31, 2022 and $13.72 million in the year ended Dec 31, 2021 (-98.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 1.08 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.08 Bn |
| Dec 31, 2024 | 1.03 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Dec 31, 2022 | 1.00 Bn |
| Dec 31, 2021 | 910.21 Mn |
| Dec 31, 2020 | 809.20 Mn |
| Dec 31, 2019 | 779.09 Mn |
API Access
Grifols Land & Improvements 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=land-and-improvements&ticker=GRFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=GRFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();