Incyte (INCY) Long-Term Debt Repayments (2010 - 2026)
Incyte (INCY) recorded Long-Term Debt Repayments of $1.16 million in Q2 2026, up 0.3% from $1.16 million a year earlier but down 2.2% from the prior quarter.
Incyte (INCY) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a TTM basis, Incyte's Long-Term Debt Repayments came in at $4.64 million as of Jun 30, 2026, up 8.9% year-over-year; for FY2025, it was $4.54 million, up 19.6% from FY2024.
- Annual Long-Term Debt Repayments has increased for six straight years, with a five-year compound annual growth rate of 40.3% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $3.8 million in FY2024 (+11.8%), $3.4 million in FY2023 (+17.2%), $2.9 million in FY2022 (+20.0%) and $2.42 million in FY2021 (+189.1%).
- Quarterly Long-Term Debt Repayments has ranged from $615,000 in Q3 2021 to $1.18 million in Q1 2026 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments has increased for 24 consecutive quarters, with growth averaging 14.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Long-Term Debt Repayments ranged from 0.3% (Q2 2026) to 189.9% (Q4 2021).
- Per Business Quant, the preceding three quarters came in at $1.18 million (Q1 2026), $1.16 million (Q4 2025) and $1.14 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | - |
| 10 | Incyte | 23.38 Bn | 8.32 Bn | 1.57 Bn | 1.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.16 Mn |
| Mar 31, 2026 | 1.18 Mn |
| Dec 31, 2025 | 1.16 Mn |
| Sep 30, 2025 | 1.14 Mn |
| Jun 30, 2025 | 1.16 Mn |
| Mar 31, 2025 | 1.09 Mn |
| Dec 31, 2024 | 1.04 Mn |
| Sep 30, 2024 | 979,000.00 |
| Jun 30, 2024 | 911,000.00 |
| Mar 31, 2024 | 871,000.00 |
| Dec 31, 2023 | 877,000.00 |
| Sep 30, 2023 | 885,000.00 |
| Jun 30, 2023 | 836,000.00 |
| Mar 31, 2023 | 802,000.00 |
| Dec 31, 2022 | 794,000.00 |
| Sep 30, 2022 | 738,000.00 |
| Jun 30, 2022 | 700,000.00 |
| Mar 31, 2022 | 668,000.00 |
| Dec 31, 2021 | 629,000.00 |
| Sep 30, 2021 | 615,000.00 |
Incyte Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=INCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=INCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();