Eli Lilly (LLY) Enterprise Value (2009 - 2026)
Eli Lilly (LLY) recorded Enterprise Value of $1.12 trillion in Q2 2026, up 52.5% from $734.32 billion a year earlier and up 30.1% from the prior quarter.
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Analysis
Eli Lilly (LLY) Enterprise Value (2009 - 2026) Analysis & Trends
On a TTM basis, Eli Lilly's Enterprise Value came in at $1.1 trillion as of Jun 30, 2026, up 51.6% year-over-year; for FY2025, it came in at $1.01 trillion, up 38.1% from FY2024.
- Annual Enterprise Value has increased for nine straight years, with a five-year compound annual growth rate of 44.8% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $728.64 billion in FY2024 (+32.2%), $551.03 billion in FY2023 (+59.5%), $345.57 billion in FY2022 (+33.3%) and $259.32 billion in FY2021 (+63.8%).
- The Q2 2026 figure is the highest quarterly Enterprise Value in data going back to Q1 2009.
- On a year-over-year basis, Enterprise Value has increased for three consecutive quarters, with growth averaging 21.8% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 128.5% in Q1 2024, against a decline of 15.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $860.9 billion (Q1 2026), $1.01 trillion (Q4 2025) and $711.47 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.25 Bn | 1,104.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 615.56 Bn | 534.09 Bn | 17.26 Bn |
| 3 | AbbVie | 506.32 Bn | 479.44 Bn | 12.70 Bn |
| 4 | Merck | 367.72 Bn | 322.10 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.15 Bn | 262.14 Bn | 11.24 Bn |
| 6 | Astrazeneca | 262.32 Bn | 236.01 Bn | 12.86 Bn |
| 7 | Amgen | 236.40 Bn | 191.80 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 191.30 Bn | 165.50 Bn | 6.22 Bn |
| 9 | Pfizer | 170.97 Bn | 117.62 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 130.87 Bn | 102.87 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,120.14 Bn |
| Mar 31, 2026 | 860.90 Bn |
| Dec 31, 2025 | 1,006.54 Bn |
| Sep 30, 2025 | 711.47 Bn |
| Jun 30, 2025 | 734.32 Bn |
| Mar 31, 2025 | 779.61 Bn |
| Dec 31, 2024 | 728.64 Bn |
| Sep 30, 2024 | 837.60 Bn |
| Jun 30, 2024 | 857.21 Bn |
| Mar 31, 2024 | 736.88 Bn |
| Dec 31, 2023 | 551.03 Bn |
| Sep 30, 2023 | 507.49 Bn |
| Jun 30, 2023 | 442.46 Bn |
| Mar 31, 2023 | 322.43 Bn |
| Dec 31, 2022 | 345.57 Bn |
| Sep 30, 2022 | 304.59 Bn |
| Jun 30, 2022 | 305.45 Bn |
| Mar 31, 2022 | 269.66 Bn |
| Dec 31, 2021 | 259.32 Bn |
| Sep 30, 2021 | 217.39 Bn |
API Access
Eli Lilly Enterprise Value 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=enterprise-value&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();