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.
Powered by 
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 | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 20.72% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 34.46% |
| Jun 30, 2026 | 40.25% |
| Mar 31, 2026 | 44.70% |
| Dec 31, 2025 | 42.85% |
| Sep 30, 2025 | 42.11% |
| Jun 30, 2025 | 45.16% |
| Mar 31, 2025 | 29.07% |
| Dec 31, 2024 | 38.89% |
| Sep 30, 2024 | 15.57% |
| Jun 30, 2024 | 32.74% |
| Mar 31, 2024 | 30.97% |
| Dec 31, 2023 | 221,578,266.45% |
| Sep 30, 2023 | -95,502,414.69% |
| Jun 30, 2023 | -74,869,088.38% |
| Mar 31, 2023 | 21.98% |
| Dec 31, 2022 | 226,376,838.84% |
| Sep 30, 2022 | -77,447,485.27% |
| Jun 30, 2022 | 16.81% |
| Mar 31, 2022 | 26.29% |
| Dec 31, 2021 | 23.00% |
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();