Eli Lilly (LLY) Cash & Equivalents (2009 - 2026)
Eli Lilly's Cash & Equivalents was $8.95 billion in Q2 2026, up 165.1% from $3.38 billion a year earlier and up 69.4% from the prior quarter.
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Analysis
Eli Lilly (LLY) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Eli Lilly came in at $7.27 billion, up 122.4% from FY2024.
- Cash & Equivalents has now increased for three consecutive years, with a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $3.27 billion in FY2024 (+15.9%), $2.82 billion in FY2023 (+36.4%), $2.07 billion in FY2022 (-45.9%) and $3.82 billion in FY2021 (+4.4%).
- Quarterly Cash & Equivalents has moved between $2.07 billion (Q4 2022) and $9.79 billion (Q3 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for nine straight quarters, with growth averaging 79.6% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q3 2025 (growth of 190.6%); the worst was Q4 2022 (a decline of 45.9%).
- Per Business Quant data, LLY's Cash & Equivalents in the three quarters before Q2 2026 was $5.28 billion (Q1 2026), $7.27 billion (Q4 2025) and $9.79 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Vertex Pharmaceuticals | 127.87 Bn | 99.88 Bn | 2.84 Bn | 6.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.95 Bn |
| Mar 31, 2026 | 5.28 Bn |
| Dec 31, 2025 | 7.27 Bn |
| Sep 30, 2025 | 9.79 Bn |
| Jun 30, 2025 | 3.38 Bn |
| Mar 31, 2025 | 3.09 Bn |
| Dec 31, 2024 | 3.27 Bn |
| Sep 30, 2024 | 3.37 Bn |
| Jun 30, 2024 | 3.22 Bn |
| Mar 31, 2024 | 2.46 Bn |
| Dec 31, 2023 | 2.82 Bn |
| Sep 30, 2023 | 2.38 Bn |
| Jun 30, 2023 | 2.69 Bn |
| Mar 31, 2023 | 3.55 Bn |
| Dec 31, 2022 | 2.07 Bn |
| Sep 30, 2022 | 2.62 Bn |
| Jun 30, 2022 | 2.62 Bn |
| Mar 31, 2022 | 2.46 Bn |
| Dec 31, 2021 | 3.82 Bn |
| Sep 30, 2021 | 3.79 Bn |
API Access
Eli Lilly Cash & Equivalents 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=cash-and-equivalents&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();