Eli Lilly (LLY) Return on Sales [ROS] (2009 - 2026)
Eli Lilly (LLY) reported Return on Sales [ROS] of 52.42% for Q3 2026, up 6.85 percentage points from 45.57% a year earlier and up 1.26 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 Sep 30, 2026, Eli Lilly's Return on Sales [ROS] came in at 49.67%, up 6.51 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 Q3 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 14 quarters, with an average year-over-year change of +7.92 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 Q3 2026 came in at 51.16% (Q2 2026), 47.98% (Q1 2026) and 46.15% (Q4 2025).
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 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 20.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 52.42% |
| 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% |
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();