Argenx Se (ARGX) Return on Sales [ROS] (2016 - 2026)
Argenx Se's Return on Sales [ROS] came in at 32.54% for Q2 2026, up 11.35 percentage points from 21.20% a year earlier and up 2.19 percentage points from the prior quarter.
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Analysis
Argenx Se (ARGX) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Argenx Se reported Return on Sales [ROS] of 30.63%, up 15.63 percentage points year-over-year; for FY2025, it was 25.38%, up 26.38 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +1181.94 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -0.99% in FY2024 (+34.70 pp), -35.69% in FY2023 (+144.07 pp), -179.76% in FY2022 (-109.63 pp) and -70.13% in FY2021 (+1086.42 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q3 2017.
- Year-over-year, Return on Sales [ROS] has increased for 16 consecutive quarters, with an average year-over-year change of +27.09 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2022 (a gain of 24690.26 percentage points), and the weakest in Q3 2021 (a drop of 23525.11 percentage points).
- Business Quant data shows ARGX's Return on Sales [ROS] at 30.35% (Q1 2026), 28.59% (Q4 2025) and 30.72% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | 28.37% |
| 10 | Argenx Se | 50.23 Bn | 34.19 Bn | 1.37 Bn | 32.54% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.54% |
| Mar 31, 2026 | 30.35% |
| Dec 31, 2025 | 28.59% |
| Sep 30, 2025 | 30.72% |
| Jun 30, 2025 | 21.20% |
| Mar 31, 2025 | 17.59% |
| Dec 31, 2024 | 13.98% |
| Sep 30, 2024 | 2.48% |
| Jun 30, 2024 | -9.52% |
| Mar 31, 2024 | -23.46% |
| Dec 31, 2023 | -37.03% |
| Sep 30, 2023 | -24.49% |
| Jun 30, 2023 | -37.91% |
| Mar 31, 2023 | -47.58% |
| Dec 31, 2022 | -65.99% |
| Sep 30, 2022 | -158.87% |
| Jun 30, 2022 | 113.83% |
| Mar 31, 2022 | -1,052.43% |
| Dec 31, 2021 | -887.37% |
| Sep 30, 2021 | 829.05% |
API Access
Argenx Se Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ARGX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ARGX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();