Eli Lilly (LLY) Research & Development (2009 - 2026)
Eli Lilly (LLY) reported Research & Development of $3.82 billion for Q2 2026, up 14.5% from $3.34 billion a year earlier and up 8.8% from the prior quarter.
Eli Lilly (LLY) Research & Development (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eli Lilly's Research & Development came in at $14.6 billion, up 23.4% year-over-year; for FY2025, it was $13.34 billion, up 21.3% from FY2024.
- Research & Development has increased for seven consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- By year, Research & Development came in at $10.99 billion in FY2024 (+18.0%), $9.31 billion in FY2023 (+29.5%), $7.19 billion in FY2022 (+3.8%) and $6.93 billion in FY2021 (+16.0%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development in data going back to Q1 2009.
- Year over year, Research & Development has now increased in each of the last 17 quarters, with growth averaging 19.8% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q3 2023 (growth of 33.6%); the low point was Q1 2022 (a decline of 3.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $3.51 billion (Q1 2026), $3.8 billion (Q4 2025) and $3.47 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 3.82 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 3.65 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 2.34 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 9.74 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 2.85 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 4.05 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 1.87 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 1.76 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 2.81 Bn |
| 10 | Vertex Pharmaceuticals | 130.00 Bn | 102.01 Bn | 2.84 Bn | 993.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.82 Bn |
| Mar 31, 2026 | 3.51 Bn |
| Dec 31, 2025 | 3.80 Bn |
| Sep 30, 2025 | 3.47 Bn |
| Jun 30, 2025 | 3.34 Bn |
| Mar 31, 2025 | 2.73 Bn |
| Dec 31, 2024 | 3.02 Bn |
| Sep 30, 2024 | 2.73 Bn |
| Jun 30, 2024 | 2.71 Bn |
| Mar 31, 2024 | 2.52 Bn |
| Dec 31, 2023 | 2.56 Bn |
| Sep 30, 2023 | 2.41 Bn |
| Jun 30, 2023 | 2.36 Bn |
| Mar 31, 2023 | 1.99 Bn |
| Dec 31, 2022 | 2.00 Bn |
| Sep 30, 2022 | 1.80 Bn |
| Jun 30, 2022 | 1.78 Bn |
| Mar 31, 2022 | 1.61 Bn |
| Dec 31, 2021 | 1.90 Bn |
| Sep 30, 2021 | 1.71 Bn |
Eli Lilly Research & Development 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=research-and-development&ticker=LLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();