Eli Lilly (LLY) Operating Income (2009 - 2026)
Eli Lilly (LLY) posted Operating Income of $12.79 billion for Q3 2026, up 59.4% from $8.02 billion a year earlier and up 8.8% from the prior quarter.
Eli Lilly (LLY) Operating Income (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Operating Income at Eli Lilly was $42.95 billion, up 67.5% year-over-year; for FY2025, it came in at $29.21 billion, up 80.6% from FY2024.
- Annual Operating Income has increased for six consecutive years, with a five-year compound annual growth rate of 33.7% (FY2020 to FY2025).
- In prior years, Eli Lilly's Operating Income was $16.18 billion in FY2024 (+57.7%), $10.26 billion in FY2023 (+27.6%), $8.04 billion in FY2022 (+9.7%) and $7.33 billion in FY2021 (+7.3%).
- The Q3 2026 figure stands as the highest quarterly Operating Income in data going back to Q1 2009.
- On a year-over-year basis, Operating Income has increased in each of the last 14 quarters, with growth averaging 77.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Income in the past five years was Q1 2025, with growth of 101.1%; the weakest was Q1 2023, with a decline of 37.8%.
- According to Business Quant data, Operating Income for the three prior quarters was $11.75 billion (Q2 2026), $9.5 billion (Q1 2026) and $8.9 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 8.41 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.18 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 6.27 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 5.56 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 4.39 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 3.71 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 3.46 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.47 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn | 712.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.41 Bn |
| Jun 30, 2026 | 9.25 Bn |
| Mar 31, 2026 | 8.85 Bn |
| Dec 31, 2025 | 8.27 Bn |
| Sep 30, 2025 | 7.41 Bn |
| Jun 30, 2025 | 7.03 Bn |
| Mar 31, 2025 | 3.70 Bn |
| Dec 31, 2024 | 5.26 Bn |
| Sep 30, 2024 | 1.78 Bn |
| Jun 30, 2024 | 3.70 Bn |
| Mar 31, 2024 | 2.72 Bn |
| Dec 31, 2023 | 20,724,880.00 Bn |
| Sep 30, 2023 | -9,071,392.36 Bn |
| Jun 30, 2023 | -6,223,193.50 Bn |
| Mar 31, 2023 | 1.53 Bn |
| Dec 31, 2022 | 16,529,584.02 Bn |
| Sep 30, 2022 | -5,376,094.64 Bn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 2.05 Bn |
| Dec 31, 2021 | 1.84 Bn |
Eli Lilly Operating Income 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-income&ticker=LLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();