Argenx Se (ARGX) Return on Sales [ROS] (2016 - 2026)
Argenx Se's Return on Sales [ROS] came in at 28.24% for Q3 2026, down 2.46 percentage points from 30.70% a year earlier and down 4.30 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 Sep 30, 2026, Argenx Se reported Return on Sales [ROS] of 29.91%, up 8.00 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 Q3 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q2 2025.
- Year-over-year, Return on Sales [ROS] increased in seven of the last eight quarters, with an average year-over-year change of +23.41 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2023 (a gain of 1004.85 percentage points), and the weakest in Q1 2022 (a drop of 1052.42 percentage points).
- Business Quant data shows ARGX's Return on Sales [ROS] at 32.54% (Q2 2026), 30.35% (Q1 2026) and 28.59% (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 52.42% |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 30.89% |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 32.98% |
| 10 | Argenx Se | 56.96 Bn | 56.96 Bn | 1.56 Bn | 28.24% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 28.24% |
| Jun 30, 2026 | 32.54% |
| Mar 31, 2026 | 30.35% |
| Dec 31, 2025 | 28.59% |
| Sep 30, 2025 | 30.70% |
| 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 | -233.23% |
| Mar 31, 2022 | -1,052.43% |
| Dec 31, 2021 | -887.37% |
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();