Argenx Se (ARGX) EBITDA (2016 - 2026)
Argenx Se's (ARGX) quarterly EBITDA came in at $493.0 million in Q2 2026, up 145.2% on a YoY basis from $201.1 million in Q2 2025, and up 25.13% quarter-over-quarter from $394.0 million in Q1 2026.
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Analysis
Argenx Se (ARGX) EBITDA (2016 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported EBITDA for 11 consecutive years, with $493.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EBITDA rose 145.2% year-over-year to $493.0 million; the trailing twelve-month figure through Jun 2026 stood at $1.6 billion (up 250.06% YoY), and the FY2025 full-year result was $1.1 billion, up 4966.57% from the prior year.
- EBITDA improved to $493.0 million in Q2 2026 per ARGX's latest filing, from $394.0 million in the prior quarter.
- Across five years, EBITDA topped out at $493.0 million in Q2 2026 and bottomed at -$222.7 million in Q1 2022.
- Historically, EBITDA has averaged $57.4 million across 5 years, with a median of -$15.6 million in 2024.
- The sharpest annual moves came in 2022 and 2025: EBITDA slumped 1713176.92% in 2022, then surged 2340.22% in 2025.
- Over 5 years, EBITDA stood at -$114.4 million in 2022, then dropped by 21.14% to -$138.6 million in 2023, then soared by 174.33% to $103.0 million in 2024, then jumped by 256.76% to $367.6 million in 2025, then surged by 34.11% to $493.0 million in 2026.
- According to Business Quant data, EBITDA over the past three periods registered $493.0 million, $394.0 million, and $367.6 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 649.01 Bn | 628.25 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 468.55 Bn | 462.03 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 365.49 Bn | 358.40 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 272.39 Bn | 265.10 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 253.18 Bn | 247.96 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 219.53 Bn | 205.54 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 187.85 Bn | 184.59 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 160.56 Bn | 149.16 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 130.81 Bn | 122.96 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Argenx Se | 58.53 Bn | 53.35 Bn | 1.37 Bn | 493.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 493.00 Mn |
| Mar 31, 2026 | 394.00 Mn |
| Dec 31, 2025 | 367.61 Mn |
| Sep 30, 2025 | 346.19 Mn |
| Jun 30, 2025 | 201.06 Mn |
| Mar 31, 2025 | 139.00 Mn |
| Dec 31, 2024 | 103.04 Mn |
| Sep 30, 2024 | 14.19 Mn |
| Jun 30, 2024 | -45.46 Mn |
| Mar 31, 2024 | -93.42 Mn |
| Dec 31, 2023 | -138.62 Mn |
| Sep 30, 2023 | -80.59 Mn |
| Jun 30, 2023 | -102.09 Mn |
| Mar 31, 2023 | -103.74 Mn |
| Dec 31, 2022 | -114.43 Mn |
| Sep 30, 2022 | -208.64 Mn |
| Jun 30, 2022 | 85.18 Mn |
| Mar 31, 2022 | -222.73 Mn |
| Dec 31, 2021 | -230.91 Mn |
| Sep 30, 2021 | 7.11 Mn |
API Access
Argenx Se EBITDA 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=ebitda&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();