Argenx Se (ARGX) EV to EBIT (2017 - 2026)
Argenx Se's (ARGX) quarterly EV to EBIT came in at 105.94 in Q2 2026, down 29.59% on a YoY basis from 150.47 in Q2 2025, and down 7.63% quarter-over-quarter from 114.7 in Q1 2026.
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Argenx Se (ARGX) EV to EBIT (2017 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported EV to EBIT for 10 consecutive years, with 105.94 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to EBIT fell 29.59% year-over-year to 105.94; the trailing twelve-month figure through Jun 2026 stood at 32.63 (down 50.68% YoY), and the FY2025 full-year result was 45.17, down 99.95% from the prior year.
- EV to EBIT eased to 105.94 in Q2 2026 per ARGX's latest filing, from 114.7 in the prior quarter.
- Across five years, EV to EBIT topped out at 11986.36 in Q4 2022 and bottomed at 24909.87 in Q2 2024.
- Historically, EV to EBIT has averaged 1596.57 across 5 years, with a median of 16.4 in 2026.
- The widest YoY moves for EV to EBIT: up 769.28% in 2024, down 12880.24% in 2024.
- Over 5 years, EV to EBIT stood at 11986.36 in 2022, then plunged by 101.16% to 139.51 in 2023, then plunged by 12720.75% to 17886.3 in 2024, then surged by 100.72% to 129.49 in 2025, then slipped by 18.18% to 105.94 in 2026.
- According to Business Quant data, EV to EBIT over the past three periods registered 105.94, 114.7, and 129.49 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 | 105.94 |
| Mar 31, 2026 | 114.70 |
| Dec 31, 2025 | 129.49 |
| Sep 30, 2025 | 129.45 |
| Jun 30, 2025 | 150.47 |
| Mar 31, 2025 | 258.72 |
| Dec 31, 2024 | -17,886.30 |
| Sep 30, 2024 | 2,261.80 |
| Jun 30, 2024 | -24,909.87 |
| Mar 31, 2024 | -249.47 |
| Dec 31, 2023 | -139.51 |
| Sep 30, 2023 | -337.94 |
| Jun 30, 2023 | -191.91 |
| Mar 31, 2023 | -198.95 |
| Dec 31, 2022 | 11,986.36 |
| Sep 30, 2022 | -87.43 |
| Jun 30, 2022 | 199.32 |
| Mar 31, 2022 | -73.15 |
| Dec 31, 2021 | 4,266.96 |
| Sep 30, 2021 | 2,022.03 |
API Access
Argenx Se EV to EBIT 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=ev-to-ebit&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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=ev-to-ebit&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();