Cytokinetics (CYTK) Non-Current Debt (2010 - 2026)
Cytokinetics (CYTK) reported Non-Current Debt of $248.2 million for Q2 2026, up 56.0% from $159.06 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Non-Current Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics posted Non-Current Debt of $246.38 million, up 164.3% from FY2024.
- Non-Current Debt has a five-year compound annual growth rate of 39.8% (FY2020 to FY2025).
- By year, Non-Current Debt came in at $93.23 million in FY2024 (+59.7%), $58.38 million in FY2023 (-8.5%), $63.81 million in FY2022 (+34.7%) and $47.37 million in FY2021 (+2.5%).
- The Q2 2026 figure ranks as the highest quarterly Non-Current Debt in data going back to Q4 2010.
- Year over year, Non-Current Debt has now increased in each of the last nine quarters, with growth averaging 88.2% over the last eight quarters.
- The high point for year-over-year Non-Current Debt in five years was Q1 2026 (growth of 168.6%); the low point was Q3 2021 (a decline of 34.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $247.21 million (Q1 2026), $246.38 million (Q4 2025) and $158.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 37.34 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 62.48 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 51.08 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -108.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 51.86 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 23.83 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 60.50 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Cytokinetics | 9.20 Bn | 5.37 Bn | 25.89 Mn | 248.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 248.20 Mn |
| Mar 31, 2026 | 247.21 Mn |
| Dec 31, 2025 | 246.38 Mn |
| Sep 30, 2025 | 158.75 Mn |
| Jun 30, 2025 | 159.06 Mn |
| Mar 31, 2025 | 92.03 Mn |
| Dec 31, 2024 | 93.23 Mn |
| Sep 30, 2024 | 93.02 Mn |
| Jun 30, 2024 | 92.83 Mn |
| Mar 31, 2024 | 56.82 Mn |
| Dec 31, 2023 | 58.38 Mn |
| Sep 30, 2023 | 60.89 Mn |
| Jun 30, 2023 | 62.49 Mn |
| Mar 31, 2023 | 64.11 Mn |
| Dec 31, 2022 | 63.81 Mn |
| Sep 30, 2022 | 63.54 Mn |
| Jun 30, 2022 | 62.34 Mn |
| Mar 31, 2022 | 61.17 Mn |
| Dec 31, 2021 | 47.37 Mn |
| Sep 30, 2021 | 30.20 Mn |
API Access
Cytokinetics Non-Current Debt 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-current-debt&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();