Eli Lilly (LLY) Operating Margin (2009 - 2026)
Eli Lilly (LLY) reported Operating Margin 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) Operating Margin (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eli Lilly's Operating Margin came in at 47.92%, up 6.66 percentage points year-over-year; for FY2025, it came in at 44.82%, up 8.90 percentage points from FY2024.
- Operating Margin has increased for four consecutive years, with a five-year change of +16.99 percentage points (FY2020 to FY2025).
- By year, Operating Margin 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 Operating Margin in data going back to Q1 2009.
- Year over year, Operating Margin 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 Operating Margin 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) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.81 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 613.62 Bn | 532.15 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 501.46 Bn | 474.57 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 366.84 Bn | 321.22 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 297.85 Bn | 261.84 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 261.66 Bn | 235.34 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 235.39 Bn | 190.79 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 190.66 Bn | 164.86 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 169.57 Bn | 116.22 Bn | 10.94 Bn | 28.37% |
| 10 | Vertex Pharmaceuticals | 131.60 Bn | 103.61 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 Operating Margin 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=operating-margin&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();