Argenx Se (ARGX) Price to Earnings (2017 - 2026)
Argenx Se's (ARGX) quarterly Price to Earnings came in at 121.64 in Q2 2026, down 10.89% on a YoY basis from 136.51 in Q2 2025, and down 1.48% quarter-over-quarter from 123.47 in Q1 2026.
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Argenx Se (ARGX) Price to Earnings (2017 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Price to Earnings for 10 consecutive years, with 121.64 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 10.89% year-over-year to 121.64; the trailing twelve-month figure through Jun 2026 stood at 33.47 (up 27.92% YoY), and the FY2025 full-year result was 40.28, down 10.21% from the prior year.
- Price to Earnings eased to 121.64 in Q2 2026 per ARGX's latest filing, from 123.47 in the prior quarter.
- Across five years, Price to Earnings topped out at 875.8 in Q2 2024 and bottomed at 714.88 in Q1 2023.
- Historically, Price to Earnings has averaged 34.07 across 5 years, with a median of 11.72 in 2022.
- The sharpest annual moves came in 2023 and 2024: Price to Earnings slumped 896.91% in 2023, then surged 482.81% in 2024.
- Over 5 years, Price to Earnings stood at 543.49 in 2022, then surged by 58.22% to 227.07 in 2023, then surged by 121.26% to 48.27 in 2024, then jumped by 102.3% to 97.65 in 2025, then climbed by 24.57% to 121.64 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 121.64, 123.47, and 97.65 for Q2 2026, Q1 2026, and Q4 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 | 121.64 |
| Mar 31, 2026 | 123.47 |
| Dec 31, 2025 | 97.65 |
| Sep 30, 2025 | 130.18 |
| Jun 30, 2025 | 136.51 |
| Mar 31, 2025 | 212.79 |
| Dec 31, 2024 | 48.27 |
| Sep 30, 2024 | 351.04 |
| Jun 30, 2024 | 875.80 |
| Mar 31, 2024 | -378.36 |
| Dec 31, 2023 | -227.07 |
| Sep 30, 2023 | -374.91 |
| Jun 30, 2023 | -228.78 |
| Mar 31, 2023 | -714.88 |
| Dec 31, 2022 | -543.49 |
| Sep 30, 2022 | -77.61 |
| Jun 30, 2022 | -93.78 |
| Mar 31, 2022 | -71.71 |
| Dec 31, 2021 | -76.08 |
| Sep 30, 2021 | -61.50 |
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();