Cytokinetics (CYTK) Total Debt (2010 - 2026)
Cytokinetics' Total Debt was $418.73 million in Q3 2026, up 137.9% from $176.03 million a year earlier and up 52.0% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at Cytokinetics came in at $287.57 million, up 174.5% from FY2024.
- Total Debt has now increased for ten consecutive years, with a five-year compound annual growth rate of 44.1% (FY2020 to FY2025).
- In earlier years, Total Debt was $104.75 million in FY2024 (+53.0%), $68.46 million in FY2023 (+5.7%), $64.77 million in FY2022 (+36.7%) and $47.37 million in FY2021 (+2.5%).
- The Q3 2026 figure marks the highest quarterly Total Debt in data going back to Q4 2010.
- Compared with a year earlier, Total Debt has increased for 12 straight quarters, with growth averaging 98.8% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was Q1 2026 (growth of 178.2%); the worst was Q3 2023 (a decline of 4.2%).
- Per Business Quant data, CYTK's Total Debt in the three quarters before Q3 2026 was $275.56 million (Q2 2026), $292.02 million (Q1 2026) and $287.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 49.50 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 44.65 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 80.90 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 53.78 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 54.01 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 26.23 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 62.67 Bn |
| 10 | Cytokinetics | 7.81 Bn | 3.81 Bn | 47.10 Mn | 418.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 418.73 Mn |
| Jun 30, 2026 | 275.56 Mn |
| Mar 31, 2026 | 292.02 Mn |
| Dec 31, 2025 | 287.57 Mn |
| Sep 30, 2025 | 176.03 Mn |
| Jun 30, 2025 | 173.46 Mn |
| Mar 31, 2025 | 104.99 Mn |
| Dec 31, 2024 | 104.75 Mn |
| Sep 30, 2024 | 104.54 Mn |
| Jun 30, 2024 | 104.35 Mn |
| Mar 31, 2024 | 68.34 Mn |
| Dec 31, 2023 | 68.46 Mn |
| Sep 30, 2023 | 60.89 Mn |
| Jun 30, 2023 | 62.49 Mn |
| Mar 31, 2023 | 64.11 Mn |
| Dec 31, 2022 | 64.77 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 |
API Access
Cytokinetics Total 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=total-debt&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();