Eli Lilly (LLY) Non-Current Assets (2009 - 2026)
Eli Lilly's Non-Current Assets was $77.61 billion in Q2 2026, up 52.0% from $51.07 billion a year earlier and up 25.7% from the prior quarter.
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Analysis
Eli Lilly (LLY) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Eli Lilly came in at $56.85 billion, up 23.6% from FY2024.
- Non-Current Assets has now increased for seven consecutive years, with a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $45.98 billion in FY2024 (+20.1%), $38.28 billion in FY2023 (+21.7%), $31.46 billion in FY2022 (+3.6%) and $30.35 billion in FY2021 (+4.1%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q2 2009.
- Compared with a year earlier, Non-Current Assets has increased for 15 straight quarters, with growth averaging 27.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2026 (growth of 52.0%); the worst was Q2 2022 (a decline of 1.9%).
- Per Business Quant data, LLY's Non-Current Assets in the three quarters before Q2 2026 was $61.74 billion (Q1 2026), $56.85 billion (Q4 2025) and $52.86 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 77.61 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 141.29 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 101.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 125.00 Mn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 60.68 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.42 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 159.77 Bn |
| 10 | Vertex Pharmaceuticals | 130.00 Bn | 102.01 Bn | 2.84 Bn | 14.88 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.61 Bn |
| Mar 31, 2026 | 61.74 Bn |
| Dec 31, 2025 | 56.85 Bn |
| Sep 30, 2025 | 52.86 Bn |
| Jun 30, 2025 | 51.07 Bn |
| Mar 31, 2025 | 48.13 Bn |
| Dec 31, 2024 | 45.98 Bn |
| Sep 30, 2024 | 44.19 Bn |
| Jun 30, 2024 | 41.67 Bn |
| Mar 31, 2024 | 38.75 Bn |
| Dec 31, 2023 | 38.28 Bn |
| Sep 30, 2023 | 34.91 Bn |
| Jun 30, 2023 | 33.48 Bn |
| Mar 31, 2023 | 32.35 Bn |
| Dec 31, 2022 | 31.46 Bn |
| Sep 30, 2022 | 29.82 Bn |
| Jun 30, 2022 | 29.95 Bn |
| Mar 31, 2022 | 29.95 Bn |
| Dec 31, 2021 | 30.35 Bn |
| Sep 30, 2021 | 30.38 Bn |
API Access
Eli Lilly Non-Current Assets 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=non-current-assets&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();