Argenx Se (ARGX) Price to Earnings (2017 - 2026)
Argenx Se's Price to Earnings was 31.62 in Q3 2026, up 8.1% from 29.24 a year earlier but down 5.6% from the prior quarter.
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Analysis
Argenx Se (ARGX) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Price to Earnings at Argenx Se came in at 40.28, down 10.2% from FY2024.
- In earlier years, Price to Earnings was 44.86 in FY2024.
- Quarterly Price to Earnings has moved between 26.17 (Q2 2025) and 44.86 (Q4 2024) over five years.
- Compared with a year earlier, Price to Earnings was higher in two of the last four quarters, with growth averaging 3.9%.
- Per Business Quant data, ARGX's Price to Earnings in the three quarters before Q3 2026 was 33.48 (Q2 2026), 30.36 (Q1 2026) and 40.30 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn |
| 10 | Argenx Se | 56.96 Bn | 56.96 Bn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 31.62 |
| Jun 30, 2026 | 33.48 |
| Mar 31, 2026 | 30.36 |
| Dec 31, 2025 | 40.30 |
| Sep 30, 2025 | 29.24 |
| Jun 30, 2025 | 26.17 |
| Mar 31, 2025 | 33.81 |
| Dec 31, 2024 | 44.86 |
| Sep 30, 2017 | 42.34 |
API Access
Argenx Se Price to Earnings 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-earnings&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();