Legend Biotech (LEGN) Return on Sales [ROS] (2019 - 2026)
Legend Biotech (LEGN) recorded Return on Sales [ROS] of 14.89% in Q2 2026, up 23.48 percentage points from -8.58% a year earlier and up 31.21 percentage points from the prior quarter.
Legend Biotech (LEGN) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Legend Biotech's Return on Sales [ROS] came in at -4.35% as of Jun 30, 2026, up 23.67 percentage points year-over-year; for FY2025, it came in at -13.27%, up 36.07 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -453.66 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -49.34% in FY2024 (+135.89 pp), -185.23% in FY2023 (-585.15 pp), 399.92% in FY2022 (-223.59 pp) and 623.50% in FY2021 (+183.11 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q2 2024.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of -97.51 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1850.47 percentage points in Q2 2023, against a drop of 1173.65 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -16.32% (Q1 2026), -6.43% (Q4 2025) and -15.96% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Legend Biotech | 3.42 Bn | -317.56 Mn | 251.50 Mn | 14.89% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.89% |
| Mar 31, 2026 | -16.32% |
| Dec 31, 2025 | -6.43% |
| Sep 30, 2025 | -15.96% |
| Jun 30, 2025 | -8.58% |
| Mar 31, 2025 | -26.51% |
| Dec 31, 2024 | -42.52% |
| Sep 30, 2024 | -43.92% |
| Jun 30, 2024 | 155.02% |
| Mar 31, 2024 | 189.15% |
| Dec 31, 2023 | 228.28% |
| Sep 30, 2023 | 183.82% |
| Jun 30, 2023 | 223.92% |
| Mar 31, 2023 | 296.72% |
| Dec 31, 2022 | 405.70% |
| Sep 30, 2022 | 473.89% |
| Jun 30, 2022 | -1,626.55% |
| Mar 31, 2022 | -66.29% |
| Dec 31, 2021 | -228.07% |
| Sep 30, 2021 | -740.19% |
Legend Biotech 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=LEGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LEGN", "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=LEGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();