Incyte (INCY) Non Operating Interest Expenses (2010 - 2026)
Incyte's Non Operating Interest Expenses came in at $582,000 for Q2 2026, down 2.0% from $594,000 a year earlier but up 2.3% from the prior quarter.
Incyte (INCY) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Incyte reported Non Operating Interest Expenses of $2.33 million, down 5.0% year-over-year; for FY2025, it was $2.43 million, up 6.5% from FY2024.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 2.2% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $2.28 million in FY2024 (-10.6%), $2.55 million in FY2023 (-4.3%), $2.67 million in FY2022 (+39.7%) and $1.91 million in FY2021 (-12.2%).
- The five-year range for quarterly Non Operating Interest Expenses is $419,000 (Q4 2024) to $804,000 (Q4 2023).
- Year-over-year, Non Operating Interest Expenses increased in three of the last eight quarters, with growth averaging 2.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2022 (growth of 89.4%), and the weakest in Q4 2024 (a decline of 47.9%).
- Business Quant data shows INCY's Non Operating Interest Expenses at $569,000 (Q1 2026), $582,000 (Q4 2025) and $592,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | - |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | -462.00 Mn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | -435.00 Mn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | - |
| 10 | Incyte | 23.54 Bn | 8.48 Bn | 1.57 Bn | 582,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 582,000.00 |
| Mar 31, 2026 | 569,000.00 |
| Dec 31, 2025 | 582,000.00 |
| Sep 30, 2025 | 592,000.00 |
| Jun 30, 2025 | 594,000.00 |
| Mar 31, 2025 | 660,000.00 |
| Dec 31, 2024 | 419,000.00 |
| Sep 30, 2024 | 774,000.00 |
| Jun 30, 2024 | 657,000.00 |
| Mar 31, 2024 | 430,000.00 |
| Dec 31, 2023 | 804,000.00 |
| Sep 30, 2023 | 623,000.00 |
| Jun 30, 2023 | 655,000.00 |
| Mar 31, 2023 | 469,000.00 |
| Dec 31, 2022 | 667,000.00 |
| Sep 30, 2022 | 641,000.00 |
| Jun 30, 2022 | 678,000.00 |
| Mar 31, 2022 | 680,000.00 |
| Dec 31, 2021 | 752,000.00 |
| Sep 30, 2021 | 439,000.00 |
Incyte Non Operating Interest 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=non-operating-interest-expenses&ticker=INCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=INCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();