Eli Lilly (LLY) Revenue (2009 - 2026)
Eli Lilly (LLY) posted Revenue of $22.97 billion for Q2 2026, up 47.7% from $15.56 billion a year earlier and up 16.0% from the prior quarter.
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Analysis
Eli Lilly (LLY) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Eli Lilly was $79.67 billion, up 49.6% year-over-year; for FY2025, it came in at $65.18 billion, up 44.7% from FY2024.
- Annual Revenue has increased for eight consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, Eli Lilly's Revenue was $45.04 billion in FY2024 (+32.0%), $34.12 billion in FY2023 (+19.6%), $28.54 billion in FY2022 (+0.8%) and $28.32 billion in FY2021 (+15.4%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q1 2009.
- On a year-over-year basis, Revenue has increased in each of the last 13 quarters, with growth averaging 43.4% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q1 2026, with growth of 55.5%; the weakest was Q1 2023, with a decline of 10.9%.
- According to Business Quant data, Revenue for the three prior quarters was $19.8 billion (Q1 2026), $19.29 billion (Q4 2025) and $17.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 22.97 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 25.31 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 16.99 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 16.61 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 14.41 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 15.38 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 10.05 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 7.80 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 15.03 Bn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 3.33 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.97 Bn |
| Mar 31, 2026 | 19.80 Bn |
| Dec 31, 2025 | 19.29 Bn |
| Sep 30, 2025 | 17.60 Bn |
| Jun 30, 2025 | 15.56 Bn |
| Mar 31, 2025 | 12.73 Bn |
| Dec 31, 2024 | 13.53 Bn |
| Sep 30, 2024 | 11.44 Bn |
| Jun 30, 2024 | 11.30 Bn |
| Mar 31, 2024 | 8.77 Bn |
| Dec 31, 2023 | 9.35 Bn |
| Sep 30, 2023 | 9.50 Bn |
| Jun 30, 2023 | 8.31 Bn |
| Mar 31, 2023 | 6.96 Bn |
| Dec 31, 2022 | 7.30 Bn |
| Sep 30, 2022 | 6.94 Bn |
| Jun 30, 2022 | 6.49 Bn |
| Mar 31, 2022 | 7.81 Bn |
| Dec 31, 2021 | 8.00 Bn |
| Sep 30, 2021 | 6.77 Bn |
API Access
Eli Lilly Revenue 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=revenue&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();