Cytokinetics (CYTK) Long-Term Debt Repayments (2010 - 2026)
Cytokinetics' Long-Term Debt Repayments came in at $3.59 million for Q2 2026, up 33.3% from $2.7 million a year earlier and up 31.4% from the prior quarter.
Cytokinetics (CYTK) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cytokinetics reported Long-Term Debt Repayments of $11.76 million, up 9.8% year-over-year; for FY2025, it came in at $10.81 million, up 24.5% from FY2024.
- Long-Term Debt Repayments carries a three-year compound annual growth rate of -39.0% (FY2022 to FY2025).
- Going back by year, Long-Term Debt Repayments was $8.68 million in FY2024 (+911.5%), $858,000 in FY2023 (-98.2%) and $47.65 million in FY2022.
- The Q2 2026 figure represents the highest quarterly Long-Term Debt Repayments since Q1 2022.
- Year-over-year, Long-Term Debt Repayments has increased for six consecutive quarters, with growth averaging 53.6% over the last six quarters.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q1 2025 (growth of 280.4%), and the weakest in Q1 2023 (a decline of 99.6%).
- Business Quant data shows CYTK's Long-Term Debt Repayments at $2.74 million (Q1 2026), $2.72 million (Q4 2025) and $2.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Cytokinetics | 8.30 Bn | 4.48 Bn | 25.89 Mn | 3.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.59 Mn |
| Mar 31, 2026 | 2.74 Mn |
| Dec 31, 2025 | 2.72 Mn |
| Sep 30, 2025 | 2.71 Mn |
| Jun 30, 2025 | 2.70 Mn |
| Mar 31, 2025 | 2.88 Mn |
| Dec 31, 2024 | 2.91 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 2.88 Mn |
| Mar 31, 2024 | 932,000.00 |
| Dec 31, 2023 | 222,000.00 |
| Sep 30, 2023 | 217,000.00 |
| Jun 30, 2023 | 212,000.00 |
| Mar 31, 2023 | 207,000.00 |
| Dec 31, 2022 | 105,000.00 |
| Sep 30, 2022 | 424,000.00 |
| Jun 30, 2022 | 267,000.00 |
| Mar 31, 2022 | 47.80 Mn |
| Mar 31, 2012 | 152,000.00 |
| Dec 31, 2011 | 158,000.00 |
Cytokinetics 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=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CYTK", "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=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();