Argenx Se (ARGX) Price to Book (2017 - 2026)
Argenx Se's (ARGX) quarterly Price to Book came in at 6.82 in Q2 2026, up 124046.44% on a YoY basis from N/an in Q2 2025, and down 4.02% quarter-over-quarter from 7.11 in Q4 2025.
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Analysis
Argenx Se (ARGX) Price to Book (2017 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Price to Book for 10 consecutive years, with 6.82 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Book rose 124046.44% year-over-year to 6.82; the trailing twelve-month figure through Jun 2026 stood at 6.82 (up 124046.44% YoY), and the FY2025 full-year result was 7.11, up 104463.96% from the prior year.
- Price to Book retreated to 6.82 in Q2 2026 per ARGX's latest filing, from 7.11 in the prior quarter.
- Across five years, Price to Book topped out at 7.55 in Q2 2023 and bottomed at 0.01 in Q2 2025.
- Historically, Price to Book has averaged 4.4 across 5 years, with a median of 5.97 in 2024.
- The sharpest annual moves came in 2025 and 2026: Price to Book tumbled 99.91% in 2025, then soared 124046.44% in 2026.
- Over 5 years, Price to Book stood at 0.01 in 2022, then soared by 73587.25% to 5.5 in 2023, then plunged by 99.88% to 0.01 in 2024, then soared by 104463.96% to 7.11 in 2025, then declined by 4.02% to 6.82 in 2026.
- According to Business Quant data, Price to Book over the past three periods registered 6.82, 7.11, and 0.01 for Q2 2026, Q4 2025, and Q2 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 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 | 0.01 |
| Dec 31, 2024 | 0.01 |
| Jun 30, 2024 | 5.97 |
| Dec 31, 2023 | 5.50 |
| Jun 30, 2023 | 7.55 |
| Dec 31, 2022 | 0.01 |
| Jun 30, 2022 | 6.59 |
| Dec 31, 2021 | 0.01 |
| Jun 30, 2021 | 4.85 |
| Dec 31, 2020 | 0.01 |
| Jun 30, 2020 | 5.32 |
| Dec 31, 2019 | 5.90 |
| Jun 30, 2019 | 6.81 |
| Dec 31, 2018 | 5.62 |
| Jun 30, 2018 | 5.13 |
| Dec 31, 2017 | 3.85 |
| Jun 30, 2017 | 2.58 |
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();