Incyte (INCY) Operating Expenses (2010 - 2026)
Incyte's Operating Expenses came in at $976.14 million for Q2 2026, up 42.5% from $685.22 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Incyte (INCY) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Incyte reported Operating Expenses of $4.04 billion, up 18.8% year-over-year; for FY2025, it came in at $3.63 billion, down 13.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.18 billion in FY2024 (+35.9%), $3.08 billion in FY2023 (+9.2%), $2.82 billion in FY2022 (+17.3%) and $2.4 billion in FY2021 (-18.1%).
- The five-year range for quarterly Operating Expenses is $577.58 million (Q3 2021) to $1.52 billion (Q2 2024).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with growth averaging 10.4% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 100.0%), and the weakest in Q2 2025 (a decline of 55.0%).
- Business Quant data shows INCY's Operating Expenses at $971.56 million (Q1 2026), $1.17 billion (Q4 2025) and $922.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Incyte | 24.76 Bn | 9.70 Bn | 1.57 Bn | 976.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 976.14 Mn |
| Mar 31, 2026 | 971.56 Mn |
| Dec 31, 2025 | 1.17 Bn |
| Sep 30, 2025 | 922.46 Mn |
| Jun 30, 2025 | 685.22 Mn |
| Mar 31, 2025 | 847.73 Mn |
| Dec 31, 2024 | 877.19 Mn |
| Sep 30, 2024 | 991.79 Mn |
| Jun 30, 2024 | 1.52 Bn |
| Mar 31, 2024 | 788.99 Mn |
| Dec 31, 2023 | 826.07 Mn |
| Sep 30, 2023 | 704.32 Mn |
| Jun 30, 2023 | 760.83 Mn |
| Mar 31, 2023 | 783.90 Mn |
| Dec 31, 2022 | 856.61 Mn |
| Sep 30, 2022 | 684.93 Mn |
| Jun 30, 2022 | 656.97 Mn |
| Mar 31, 2022 | 616.70 Mn |
| Dec 31, 2021 | 752.12 Mn |
| Sep 30, 2021 | 577.58 Mn |
API Access
Incyte 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=operating-expenses&ticker=INCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "INCY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=INCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();