Argenx Se (ARGX) EBT (2016 - 2026)
Argenx Se's (ARGX) quarterly EBT came in at $542.0 million in Q2 2026, up 88.92% on a YoY basis from $286.9 million in Q2 2025, and up 23.46% quarter-over-quarter from $439.0 million in Q1 2026.
Argenx Se (ARGX) EBT (2016 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported EBT for 11 consecutive years, with $542.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBT rose 88.92% year-over-year to $542.0 million; the trailing twelve-month figure through Jun 2026 stood at $1.8 billion (up 167.77% YoY), and the FY2025 full-year result was $1.3 billion, up 1401.06% from the prior year.
- EBT advanced to $542.0 million in Q2 2026 per ARGX's latest filing, from $439.0 million in the prior quarter.
- Across five years, EBT topped out at $542.0 million in Q2 2026 and bottomed at -$241.0 million in Q3 2022.
- Historically, EBT has averaged $72.7 million across 5 years, with a median of -$28.1 million in 2022.
- The sharpest annual moves came in 2022 and 2025: EBT sank 686.6% in 2022, then jumped 2012.28% in 2025.
- Over 5 years, EBT stood at -$41.2 million in 2022, then tumbled by 48.35% to -$61.2 million in 2023, then surged by 237.06% to $83.9 million in 2024, then surged by 380.97% to $403.3 million in 2025, then surged by 34.39% to $542.0 million in 2026.
- According to Business Quant data, EBT over the past three periods registered $542.0 million, $439.0 million, and $403.3 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | 6.75 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | 4.28 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | -683.00 Mn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | 4.27 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | 2.80 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | 2.77 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | -10.25 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | -653.00 Mn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | 1.39 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 Bn | 1.37 Bn | 542.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 542.00 Mn |
| Mar 31, 2026 | 439.00 Mn |
| Dec 31, 2025 | 403.29 Mn |
| Sep 30, 2025 | 386.05 Mn |
| Jun 30, 2025 | 286.90 Mn |
| Mar 31, 2025 | 202.36 Mn |
| Dec 31, 2024 | 83.85 Mn |
| Sep 30, 2024 | 88.02 Mn |
| Jun 30, 2024 | -15.00 Mn |
| Mar 31, 2024 | -74.35 Mn |
| Dec 31, 2023 | -61.18 Mn |
| Sep 30, 2023 | -83.28 Mn |
| Jun 30, 2023 | -83.86 Mn |
| Mar 31, 2023 | -76.18 Mn |
| Dec 31, 2022 | -41.24 Mn |
| Sep 30, 2022 | -241.02 Mn |
| Jun 30, 2022 | -216.98 Mn |
| Mar 31, 2022 | -230.07 Mn |
| Dec 31, 2021 | -244.88 Mn |
| Sep 30, 2021 | -230.87 Mn |
Argenx Se EBT 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=ebt&ticker=ARGX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();