Argenx Se (ARGX) Revenue (2016 - 2026)
Argenx Se (ARGX) posted Revenue of $1.52 billion for Q2 2026, up 59.7% from $948.59 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Argenx Se (ARGX) Revenue (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Argenx Se was $5.23 billion, up 71.4% year-over-year; for FY2025, it was $4.15 billion, up 89.9% from FY2024.
- Annual Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 151.5% (FY2020 to FY2025).
- In prior years, Argenx Se's Revenue was $2.19 billion in FY2024 (+83.6%), $1.19 billion in FY2023 (+197.2%), $400.72 million in FY2022 (-19.4%) and $497.28 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q3 2016.
- On a year-over-year basis, Revenue has increased in each of the last 15 quarters, with growth averaging 82.9% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2023, with growth of 930.2%; the weakest was Q3 2021, with a decline of 90.4%.
- According to Business Quant data, Revenue for the three prior quarters was $1.3 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.13 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 25.31 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 1.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.52 Bn |
| Mar 31, 2026 | 1.30 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 948.59 Mn |
| Mar 31, 2025 | 790.00 Mn |
| Dec 31, 2024 | 736.97 Mn |
| Sep 30, 2024 | 573.00 Mn |
| Jun 30, 2024 | 477.64 Mn |
| Mar 31, 2024 | 398.28 Mn |
| Dec 31, 2023 | 374.35 Mn |
| Sep 30, 2023 | 329.10 Mn |
| Jun 30, 2023 | 269.31 Mn |
| Mar 31, 2023 | 218.02 Mn |
| Dec 31, 2022 | 173.40 Mn |
| Sep 30, 2022 | 131.33 Mn |
| Jun 30, 2022 | 74.83 Mn |
| Mar 31, 2022 | 21.16 Mn |
| Dec 31, 2021 | 26.02 Mn |
| Sep 30, 2021 | 857,000.00 |
API Access
Argenx Se Revenue 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=revenue&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();