BeOne Medicines (ONC) Return on Sales [ROS] (2015 - 2026)
BeOne Medicines' Return on Sales [ROS] was 19.06% in Q2 2026, up 12.38 percentage points from 6.68% a year earlier and up 2.55 percentage points from the prior quarter.
BeOne Medicines (ONC) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, BeOne Medicines' Return on Sales [ROS] was 15.06% through Jun 30, 2026, up 17.27 percentage points year-over-year; for FY2025, it came in at 8.37%, up 23.28 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +545.05 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -14.91% in FY2024 (+34.21 pp), -49.12% in FY2023 (+77.28 pp), -126.40% in FY2022 (-4.08 pp) and -122.31% in FY2021 (+414.37 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q3 2017.
- Compared with a year earlier, Return on Sales [ROS] has increased for 17 straight quarters, with an average year-over-year change of +22.93 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 259.29 percentage points); the worst was Q1 2022 (a drop of 156.15 percentage points).
- Per Business Quant data, ONC's Return on Sales [ROS] in the three quarters before Q2 2026 was 16.51% (Q1 2026), 12.35% (Q4 2025) and 11.55% (Q3 2025).
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 | BeOne Medicines | 41.22 Bn | 22.75 Bn | 1.53 Bn | 19.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.06% |
| Mar 31, 2026 | 16.51% |
| Dec 31, 2025 | 12.35% |
| Sep 30, 2025 | 11.55% |
| Jun 30, 2025 | 6.68% |
| Mar 31, 2025 | 0.99% |
| Dec 31, 2024 | -7.04% |
| Sep 30, 2024 | -12.01% |
| Jun 30, 2024 | -11.53% |
| Mar 31, 2024 | -34.77% |
| Dec 31, 2023 | -60.50% |
| Sep 30, 2023 | -17.15% |
| Jun 30, 2023 | -53.54% |
| Mar 31, 2023 | -82.91% |
| Dec 31, 2022 | -123.29% |
| Sep 30, 2022 | -113.09% |
| Jun 30, 2022 | -128.64% |
| Mar 31, 2022 | -144.57% |
| Dec 31, 2021 | -267.19% |
| Sep 30, 2021 | -223.95% |
BeOne Medicines 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=ONC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ONC", "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=ONC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();