Eli Lilly (LLY) Tax Provisions (2009 - 2026)
Eli Lilly's Tax Provisions was $2.15 billion in Q2 2026, up 92.8% from $1.12 billion a year earlier and up 48.0% from the prior quarter.
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Analysis
Eli Lilly (LLY) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Eli Lilly's Tax Provisions was $6.88 billion through Jun 30, 2026, up 125.0% year-over-year; for FY2025, it was $5.09 billion, up 143.6% from FY2024.
- Tax Provisions has now increased for three consecutive years, with a five-year compound annual growth rate of 37.5% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $2.09 billion in FY2024 (+59.1%), $1.31 billion in FY2023 (+134.0%), $561.6 million in FY2022 (-2.1%) and $573.8 million in FY2021 (-44.6%).
- The Q2 2026 figure marks the highest quarterly Tax Provisions in data going back to Q1 2009.
- Compared with a year earlier, Tax Provisions has increased for 15 straight quarters, with growth averaging 111.6% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2023 (growth of 325.8%); the worst was Q4 2021 (a decline of 67.7%).
- Per Business Quant data, LLY's Tax Provisions in the three quarters before Q2 2026 was $1.45 billion (Q1 2026), $1.63 billion (Q4 2025) and $1.65 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.48 Bn | 1,106.07 Bn | 19.71 Bn | 2.15 Bn |
| 2 | Johnson & Johnson | 618.81 Bn | 537.34 Bn | 17.26 Bn | 1.21 Bn |
| 3 | AbbVie | 502.02 Bn | 475.14 Bn | 12.70 Bn | 662.00 Mn |
| 4 | Merck | 368.25 Bn | 322.63 Bn | 12.21 Bn | 654.00 Mn |
| 5 | Novartis Ag | 297.87 Bn | 261.86 Bn | 11.24 Bn | 1.01 Bn |
| 6 | Astrazeneca | 260.90 Bn | 234.58 Bn | 12.86 Bn | 291.00 Mn |
| 7 | Amgen | 236.67 Bn | 192.07 Bn | 7.24 Bn | 393.00 Mn |
| 8 | Gilead Sciences | 191.16 Bn | 165.36 Bn | 6.22 Bn | 242.00 Mn |
| 9 | Pfizer | 169.69 Bn | 116.34 Bn | 10.94 Bn | -407.00 Mn |
| 10 | Vertex Pharmaceuticals | 133.10 Bn | 105.11 Bn | 2.84 Bn | 292.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.15 Bn |
| Mar 31, 2026 | 1.45 Bn |
| Dec 31, 2025 | 1.63 Bn |
| Sep 30, 2025 | 1.65 Bn |
| Jun 30, 2025 | 1.12 Bn |
| Mar 31, 2025 | 697.00 Mn |
| Dec 31, 2024 | 628.50 Mn |
| Sep 30, 2024 | 618.10 Mn |
| Jun 30, 2024 | 550.20 Mn |
| Mar 31, 2024 | 293.20 Mn |
| Dec 31, 2023 | 318.90 Mn |
| Sep 30, 2023 | 484.60 Mn |
| Jun 30, 2023 | 325.70 Mn |
| Mar 31, 2023 | 184.80 Mn |
| Dec 31, 2022 | 158.70 Mn |
| Sep 30, 2022 | 113.80 Mn |
| Jun 30, 2022 | 138.40 Mn |
| Mar 31, 2022 | 150.70 Mn |
| Dec 31, 2021 | 113.80 Mn |
| Sep 30, 2021 | 135.20 Mn |
API Access
Eli Lilly Tax Provisions 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=tax-provisions&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();