Genmab A (GMAB) Price to Book (2024 - 2026)
Genmab A's Price to Book came in at 0.30 for the quarter ended Jun 30, 2026, down 2.3% from the prior quarter.
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Analysis
Genmab A (GMAB) Price to Book (2024 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Genmab A's Price to Book was 0.34, up 25.8% from the prior year.
- Going back by year, Price to Book was 0.27 in the year ended Dec 31, 2024 (-40.1%), 0.45 in the year ended Dec 31, 2023 (-59.1%), 1.10 in the year ended Dec 31, 2022 (+7.0%) and 1.03 in the year ended Dec 31, 2021 (-13.8%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Price to Book since the quarter ended Jun 30, 2025.
- The fastest year-over-year change in Price to Book over five years came in the quarter ended Mar 31, 2022 (growth of 8.5%), and the weakest in the quarter ended Sep 30, 2021 (a decline of 86.2%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn |
| 10 | Genmab A | 2.58 Bn | -2.80 Bn | 1.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.30 |
| Mar 31, 2026 | 0.30 |
| Dec 31, 2025 | 0.34 |
| Sep 30, 2025 | 2.62 |
| Jun 30, 2025 | 0.26 |
| Mar 31, 2025 | 0.24 |
| Jun 30, 2024 | 0.37 |
API Access
Genmab A 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=GMAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "GMAB", "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=GMAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();