Argenx Se (ARGX) Price to Book (2017 - 2026)
Argenx Se's Price to Book was 6.82 in Q2 2026, compared with 0.01 a year earlier.
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Analysis
Argenx Se (ARGX) Price to Book (2017 - 2026) Analysis & Trends
For FY2025, Price to Book at Argenx Se came in at 7.11.
- In earlier years, Price to Book was 0.01 in FY2024 (-99.9%), 5.50 in FY2023, 0.01 in FY2022 (+4.5%) and 0.01 in FY2021 (-99.9%).
- Quarterly Price to Book has moved between 0.01 (Q2 2025) and 7.55 (Q2 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.82 |
| Dec 31, 2025 | 7.11 |
| Jun 30, 2025 | 5.49 |
| Dec 31, 2024 | 0.01 |
| Jun 30, 2024 | 5.97 |
| Dec 31, 2023 | 5.50 |
| Jun 30, 2023 | 7.55 |
| Dec 31, 2022 | 7.46 |
| Jun 30, 2022 | 6.59 |
| Dec 31, 2021 | 7.14 |
| Jun 30, 2021 | 4.85 |
| Dec 31, 2020 | 8.34 |
| Jun 30, 2020 | 5.32 |
| Dec 31, 2019 | 5.83 |
| Jun 30, 2019 | 6.73 |
| Dec 31, 2018 | 5.61 |
| Jun 30, 2018 | 6.93 |
| Dec 31, 2017 | 4.97 |
| Jun 30, 2017 | 2.48 |
API Access
Argenx Se 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=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ARGX", "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=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();