Incyte (INCY) Long-Term Debt Repayments (2009 - 2026)
Incyte (INCY) recorded Long-Term Debt Repayments of $1.15 million in Q3 2026, up 0.7% from $1.14 million a year earlier but down 0.8% from the prior quarter.
Incyte (INCY) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Incyte's Long-Term Debt Repayments came in at $4.65 million as of Sep 30, 2026, up 5.1% 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 $629,000 in Q4 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 25 consecutive quarters, with growth averaging 13.5% 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 $1.16 million (Q2 2026), $1.18 million (Q1 2026) and $1.16 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (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 | 1.00 Mn |
| 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 | -4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Incyte | 245.42 Mn | -15.74 Bn | 1.45 Bn | 1.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.15 Mn |
| 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 |
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();