Eli Lilly (LLY) EBITDA (2009 - 2026)
Eli Lilly's EBITDA came in at $13.33 billion for Q3 2026, up 57.0% from $8.49 billion a year earlier and up 8.5% from the prior quarter.
Powered by 
Analysis
Eli Lilly (LLY) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Eli Lilly reported EBITDA of $45.12 billion, up 63.8% year-over-year; for FY2025, it came in at $31.21 billion, up 73.9% from FY2024.
- EBITDA has increased in each of the last six years, with a five-year compound annual growth rate of 30.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $17.95 billion in FY2024 (+52.3%), $11.78 billion in FY2023 (+23.3%), $9.56 billion in FY2022 (+7.7%) and $8.87 billion in FY2021 (+8.9%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q1 2009.
- Year-over-year, EBITDA has increased for 14 consecutive quarters, with growth averaging 71.4% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2025 (growth of 89.7%), and the weakest in Q1 2023 (a decline of 34.7%).
- Business Quant data shows LLY's EBITDA at $12.29 billion (Q2 2026), $10.01 billion (Q1 2026) and $9.49 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | 13.33 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | 7.37 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | 5.99 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Vertex Pharmaceuticals | 139.96 Bn | 111.95 Bn | 2.91 Bn | 782.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 13.33 Bn |
| Jun 30, 2026 | 12.29 Bn |
| Mar 31, 2026 | 10.01 Bn |
| Dec 31, 2025 | 9.49 Bn |
| Sep 30, 2025 | 8.49 Bn |
| Jun 30, 2025 | 7.50 Bn |
| Mar 31, 2025 | 5.73 Bn |
| Dec 31, 2024 | 5.82 Bn |
| Sep 30, 2024 | 4.82 Bn |
| Jun 30, 2024 | 4.28 Bn |
| Mar 31, 2024 | 3.02 Bn |
| Dec 31, 2023 | 3.40 Bn |
| Sep 30, 2023 | 3.84 Bn |
| Jun 30, 2023 | 2.59 Bn |
| Mar 31, 2023 | 1.96 Bn |
| Dec 31, 2022 | 2.45 Bn |
| Sep 30, 2022 | 2.10 Bn |
| Jun 30, 2022 | 2.00 Bn |
| Mar 31, 2022 | 3.01 Bn |
| Dec 31, 2021 | 2.80 Bn |
API Access
Eli Lilly EBITDA 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=ebitda&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();