Eli Lilly (LLY) Other Operating Expenses (2009 - 2026)
Eli Lilly (LLY) recorded Other Operating Expenses of $4.25 billion in Q3 2026, up 22.5% from $3.47 billion a year earlier and up 11.2% from the prior quarter.
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Analysis
Eli Lilly (LLY) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Eli Lilly's Other Operating Expenses came in at $15.38 billion as of Sep 30, 2026, up 22.4% year-over-year; for FY2025, it came in at $13.34 billion, up 21.3% from FY2024.
- Annual Other Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $10.99 billion in FY2024 (+18.0%), $9.31 billion in FY2023 (+29.5%), $7.19 billion in FY2022 (+3.8%) and $6.93 billion in FY2021 (+16.0%).
- The Q3 2026 figure is the highest quarterly Other Operating Expenses in data going back to Q1 2009.
- On a year-over-year basis, Other Operating Expenses has increased for 18 consecutive quarters, with growth averaging 20.9% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 33.6% in Q3 2023, against a decline of 3.7% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.82 billion (Q2 2026), $3.51 billion (Q1 2026) and $3.8 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 138.90 Bn | 106.64 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.32 Bn |
| Jun 30, 2026 | 5.78 Bn |
| Mar 31, 2026 | 4.23 Bn |
| Dec 31, 2025 | 4.01 Bn |
| Sep 30, 2025 | 3.80 Bn |
| Jun 30, 2025 | 2.69 Bn |
| Mar 31, 2025 | 4.04 Bn |
| Dec 31, 2024 | 2.70 Bn |
| Sep 30, 2024 | 4.94 Bn |
| Jun 30, 2024 | 2.52 Bn |
| Mar 31, 2024 | 1.76 Bn |
| Dec 31, 2023 | -20,724,876.99 Bn |
| Sep 30, 2023 | 9,071,395.79 Bn |
| Jun 30, 2023 | 6,223,195.72 Bn |
| Mar 31, 2023 | 1.70 Bn |
| Dec 31, 2022 | -16,529,581.94 Bn |
| Sep 30, 2022 | 5,376,096.38 Bn |
| Jun 30, 2022 | 1.99 Bn |
| Mar 31, 2022 | 2.59 Bn |
| Dec 31, 2021 | 2.57 Bn |
API Access
Eli Lilly Other Operating 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-operating-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();