Argenx Se (ARGX) Shares Outstanding (Diluted) (2022 - 2026)
Argenx Se's Weighted Average Shares Outstanding (Diluted) was 66.03 million in Q3 2026, up 1.3% from 65.18 million a year earlier and unchanged from the prior quarter.
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Analysis
Argenx Se (ARGX) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
From Q4 2022 onward, Argenx Se has reported Weighted Average Shares Outstanding (Diluted) for 16 quarters.
- Weighted Average Shares Outstanding (Diluted) has now increased for three consecutive years, with a three-year compound annual growth rate of 6.7% (FY2022 to FY2025).
- In earlier years, Weighted Average Shares Outstanding (Diluted) was 65.18 million in FY2024 (+14.0%), 57.17 million in FY2023 (+5.1%) and 54.38 million in FY2022.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) has increased for 12 straight quarters, with growth averaging 7.7% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding (Diluted) has ranged between 1.3% (Q4 2025) and 14.0% (Q3 2025) over the last five years.
- Per Business Quant data, ARGX's Weighted Average Shares Outstanding (Diluted) in the three quarters before Q3 2026 was 66.03 million (Q2 2026), 66.03 million (Q1 2026) and 66.03 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 893.40 Mn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 2.45 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 2.48 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | 1.96 Bn |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 1.56 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 546.00 Mn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.25 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 5.75 Bn |
| 10 | Argenx Se | 56.96 Bn | 56.96 Bn | 1.56 Bn | 66.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.03 Mn |
| Jun 30, 2026 | 66.03 Mn |
| Mar 31, 2026 | 66.03 Mn |
| Dec 31, 2025 | 66.03 Mn |
| Sep 30, 2025 | 65.18 Mn |
| Jun 30, 2025 | 65.18 Mn |
| Mar 31, 2025 | 65.18 Mn |
| Dec 31, 2024 | 65.18 Mn |
| Sep 30, 2024 | 57.17 Mn |
| Jun 30, 2024 | 57.17 Mn |
| Mar 31, 2024 | 57.17 Mn |
| Dec 31, 2023 | 57.17 Mn |
| Sep 30, 2023 | 54.38 Mn |
| Jun 30, 2023 | 54.38 Mn |
| Mar 31, 2023 | 54.38 Mn |
| Dec 31, 2022 | 54.38 Mn |
API Access
Argenx Se Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();