Eli Lilly (LLY) Cost of Revenue (2009 - 2026)
Eli Lilly's Cost of Revenue was $3.93 billion in Q3 2026, up 30.8% from $3.01 billion a year earlier and up 20.3% from the prior quarter.
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Analysis
Eli Lilly (LLY) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eli Lilly's Cost of Revenue was $14.15 billion through Sep 30, 2026, up 40.3% year-over-year; for FY2025, it came in at $11.05 billion, up 31.3% from FY2024.
- Cost of Revenue has now increased for three consecutive years, with a five-year compound annual growth rate of 15.0% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $8.42 billion in FY2024 (+18.9%), $7.08 billion in FY2023 (+6.8%), $6.63 billion in FY2022 (-9.3%) and $7.31 billion in FY2021 (+33.4%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue in data going back to Q1 2009.
- Compared with a year earlier, Cost of Revenue has increased for 14 straight quarters, with growth averaging 35.5% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q1 2026 (growth of 60.8%); the worst was Q2 2022 (a decline of 26.8%).
- Per Business Quant data, LLY's Cost of Revenue in the three quarters before Q3 2026 was $3.27 billion (Q2 2026), $3.58 billion (Q1 2026) and $3.37 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | 3.93 Bn |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 8.10 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 4.29 Bn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | 4.89 Bn |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | 2.95 Bn |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | 2.79 Bn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 1.57 Bn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | 4.03 Bn |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | 526.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.93 Bn |
| Jun 30, 2026 | 3.27 Bn |
| Mar 31, 2026 | 3.58 Bn |
| Dec 31, 2025 | 3.37 Bn |
| Sep 30, 2025 | 3.01 Bn |
| Jun 30, 2025 | 2.45 Bn |
| Mar 31, 2025 | 2.23 Bn |
| Dec 31, 2024 | 2.40 Bn |
| Sep 30, 2024 | 2.17 Bn |
| Jun 30, 2024 | 2.17 Bn |
| Mar 31, 2024 | 1.67 Bn |
| Dec 31, 2023 | 1.79 Bn |
| Sep 30, 2023 | 1.86 Bn |
| Jun 30, 2023 | 1.81 Bn |
| Mar 31, 2023 | 1.63 Bn |
| Dec 31, 2022 | 1.55 Bn |
| Sep 30, 2022 | 1.58 Bn |
| Jun 30, 2022 | 1.43 Bn |
| Mar 31, 2022 | 2.07 Bn |
| Dec 31, 2021 | 2.05 Bn |
API Access
Eli Lilly Cost of 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=cost-of-revenue&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();