Argenx Se (ARGX) Enterprise Value (2017 - 2026)
Argenx Se's (ARGX) quarterly Enterprise Value came in at $52.2 billion in Q2 2026, up 72.64% on a YoY basis from $30.3 billion in Q2 2025, and up 15.58% quarter-over-quarter from $45.2 billion in Q1 2026.
Argenx Se (ARGX) Enterprise Value (2017 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Enterprise Value for 10 consecutive years, with $52.2 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Enterprise Value rose 72.64% year-over-year to $52.2 billion; the trailing twelve-month figure through Jun 2026 stood at $52.2 billion (up 72.64% YoY), and the FY2025 full-year result was $47.6 billion, up 102.58% from the prior year.
- Enterprise Value advanced to $52.2 billion in Q2 2026 per ARGX's latest filing, from $45.2 billion in the prior quarter.
- Across five years, Enterprise Value topped out at $1132.4 billion in Q2 2024 and bottomed at -$1843.0 billion in Q4 2024.
- Historically, Enterprise Value has averaged -$90.7 billion across 5 years, with a median of $25.3 billion in 2023.
- The widest YoY moves for Enterprise Value: up 5679.92% in 2024, down 9629.83% in 2024.
- Over 5 years, Enterprise Value stood at -$1371.6 billion in 2022, then jumped by 101.41% to $19.3 billion in 2023, then sank by 9629.83% to -$1843.0 billion in 2024, then jumped by 102.58% to $47.6 billion in 2025, then climbed by 9.72% to $52.2 billion in 2026.
- According to Business Quant data, Enterprise Value over the past three periods registered $52.2 billion, $45.2 billion, and $47.6 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.23 Bn |
| Mar 31, 2026 | 45.19 Bn |
| Dec 31, 2025 | 47.60 Bn |
| Sep 30, 2025 | 44.81 Bn |
| Jun 30, 2025 | 30.25 Bn |
| Mar 31, 2025 | 35.96 Bn |
| Dec 31, 2024 | -1,843.02 Bn |
| Sep 30, 2024 | 32.09 Bn |
| Jun 30, 2024 | 1,132.43 Bn |
| Mar 31, 2024 | 23.31 Bn |
| Dec 31, 2023 | 19.34 Bn |
| Sep 30, 2023 | 27.23 Bn |
| Jun 30, 2023 | 19.59 Bn |
| Mar 31, 2023 | 20.64 Bn |
| Dec 31, 2022 | -1,371.62 Bn |
| Sep 30, 2022 | 18.24 Bn |
| Jun 30, 2022 | 16.98 Bn |
| Mar 31, 2022 | 16.29 Bn |
| Dec 31, 2021 | -985.29 Bn |
| Sep 30, 2021 | 14.37 Bn |
Argenx Se Enterprise Value 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=enterprise-value&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();