Argenx Se (ARGX) Price to Sales (2017 - 2026)
Argenx Se's (ARGX) quarterly Price to Sales came in at 37.9 in Q2 2026, up 7.33% on a YoY basis from 35.31 in Q2 2025, and up 8.85% quarter-over-quarter from 34.82 in Q1 2026.
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Analysis
Argenx Se (ARGX) Price to Sales (2017 - 2026) Analysis & Trends
Argenx Se (ARGX) has reported Price to Sales for 10 consecutive years, with 37.9 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Sales rose 7.33% year-over-year to 37.9; the trailing twelve-month figure through Jun 2026 stood at 10.99 (changed 0.0% YoY), and the FY2025 full-year result was 12.54, down 26.67% from the prior year.
- Price to Sales improved to 37.9 in Q2 2026 per ARGX's latest filing, from 34.82 in the prior quarter.
- Across five years, Price to Sales topped out at 769.81 in Q1 2022 and bottomed at 34.82 in Q1 2026.
- Historically, Price to Sales has averaged 114.52 across 5 years, with a median of 57.26 in 2024.
- The widest YoY moves for Price to Sales: up 829.34% in 2022, down 99.17% in 2022.
- Over 5 years, Price to Sales stood at 121.03 in 2022, then sank by 50.3% to 60.16 in 2023, then slipped by 15.71% to 50.71 in 2024, then declined by 20.17% to 40.48 in 2025, then fell by 6.37% to 37.9 in 2026.
- According to Business Quant data, Price to Sales over the past three periods registered 37.9, 34.82, and 40.48 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 | 37.90 |
| Mar 31, 2026 | 34.82 |
| Dec 31, 2025 | 40.48 |
| Sep 30, 2025 | 39.77 |
| Jun 30, 2025 | 35.31 |
| Mar 31, 2025 | 45.52 |
| Dec 31, 2024 | 50.71 |
| Sep 30, 2024 | 56.00 |
| Jun 30, 2024 | 53.30 |
| Mar 31, 2024 | 58.52 |
| Dec 31, 2023 | 60.16 |
| Sep 30, 2023 | 82.75 |
| Jun 30, 2023 | 80.16 |
| Mar 31, 2023 | 94.67 |
| Dec 31, 2022 | 121.03 |
| Sep 30, 2022 | 138.90 |
| Jun 30, 2022 | 261.60 |
| Mar 31, 2022 | 769.81 |
| Dec 31, 2021 | 695.32 |
| Sep 30, 2021 | 16,763.74 |
API Access
Argenx Se Price to Sales 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=price-to-sales&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();