Eli Lilly (LLY) Return on Sales [ROS] (2009 - 2026)
Eli Lilly (LLY) reported Return on Sales [ROS] of 51.16% for Q2 2026, up 6.03 percentage points from 45.13% a year earlier and up 3.19 percentage points from the prior quarter.
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Analysis
Eli Lilly (LLY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eli Lilly's Return on Sales [ROS] came in at 47.92%, up 6.66 percentage points year-over-year; for FY2025, it was 44.82%, up 8.90 percentage points from FY2024.
- Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +16.99 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 35.92% in FY2024 (+5.86 pp), 30.06% in FY2023 (+1.90 pp), 28.15% in FY2022 (+2.28 pp) and 25.87% in FY2021 (-1.95 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to Q1 2009.
- Year over year, Return on Sales [ROS] has now increased in each of the last 13 quarters, with an average year-over-year change of +7.31 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2025 (a gain of 11.50 percentage points); the low point was Q1 2023 (a drop of 9.93 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 47.98% (Q1 2026), 46.15% (Q4 2025) and 45.57% (Q3 2025).
Peer Set
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 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 37.40% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.16% |
| Mar 31, 2026 | 47.98% |
| Dec 31, 2025 | 46.15% |
| Sep 30, 2025 | 45.57% |
| Jun 30, 2025 | 45.13% |
| Mar 31, 2025 | 41.38% |
| Dec 31, 2024 | 39.44% |
| Sep 30, 2024 | 38.05% |
| Jun 30, 2024 | 34.23% |
| Mar 31, 2024 | 29.88% |
| Dec 31, 2023 | 32.18% |
| Sep 30, 2023 | 36.06% |
| Jun 30, 2023 | 26.74% |
| Mar 31, 2023 | 22.97% |
| Dec 31, 2022 | 28.44% |
| Sep 30, 2022 | 25.05% |
| Jun 30, 2022 | 25.44% |
| Mar 31, 2022 | 32.91% |
| Dec 31, 2021 | 29.44% |
| Sep 30, 2021 | 30.40% |
API Access
Eli Lilly 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=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "LLY", "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=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();