Eli Lilly (LLY) Other Accumulated Expenses (2009 - 2026)
Eli Lilly's Other Accumulated Expenses came in at $11.66 billion for Q2 2026, up 129.6% from $5.08 billion a year earlier and up 34.0% from the prior quarter.
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Analysis
Eli Lilly (LLY) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Eli Lilly's Other Accumulated Expenses was $8.46 billion, up 32.2% from FY2024.
- Other Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $6.4 billion in FY2024 (+95.0%), $3.28 billion in FY2023 (+15.3%), $2.85 billion in FY2022 (-6.0%) and $3.03 billion in FY2021 (+10.1%).
- The Q2 2026 figure represents the highest quarterly Other Accumulated Expenses in data going back to Q2 2009.
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 63.3% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q1 2026 (growth of 130.8%), and the weakest in Q2 2022 (a decline of 23.7%).
- Business Quant data shows LLY's Other Accumulated Expenses at $8.7 billion (Q1 2026), $8.46 billion (Q4 2025) and $5.22 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn |
| 10 | Vertex Pharmaceuticals | 132.74 Bn | 104.74 Bn | 2.84 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.66 Bn |
| Mar 31, 2026 | 8.70 Bn |
| Dec 31, 2025 | 8.46 Bn |
| Sep 30, 2025 | 5.22 Bn |
| Jun 30, 2025 | 5.08 Bn |
| Mar 31, 2025 | 3.77 Bn |
| Dec 31, 2024 | 6.40 Bn |
| Sep 30, 2024 | 5.58 Bn |
| Jun 30, 2024 | 4.25 Bn |
| Mar 31, 2024 | 4.20 Bn |
| Dec 31, 2023 | 3.28 Bn |
| Sep 30, 2023 | 2.59 Bn |
| Jun 30, 2023 | 2.27 Bn |
| Mar 31, 2023 | 2.19 Bn |
| Dec 31, 2022 | 2.85 Bn |
| Sep 30, 2022 | 1.99 Bn |
| Jun 30, 2022 | 2.00 Bn |
| Mar 31, 2022 | 2.54 Bn |
| Dec 31, 2021 | 3.03 Bn |
| Sep 30, 2021 | 2.33 Bn |
API Access
Eli Lilly Other Accumulated Expenses 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=other-accumulated-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();