Cytokinetics (CYTK) Total Non-Current Liabilities (2010 - 2026)
Cytokinetics' Total Non-Current Liabilities was $2.07 billion in Q2 2026, up 29.8% from $1.59 billion a year earlier but down 0.2% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Cytokinetics came in at $2.05 billion, up 33.6% from FY2024.
- Total Non-Current Liabilities has now increased for seven consecutive years, with a five-year compound annual growth rate of 37.3% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $1.54 billion in FY2024 (+27.0%), $1.21 billion in FY2023 (+7.9%), $1.12 billion in FY2022 (+89.1%) and $593 million in FY2021 (+41.0%).
- Quarterly Total Non-Current Liabilities has moved between $403.72 million (Q3 2021) and $2.07 billion (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 20 straight quarters, with growth averaging 27.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 7.7% in Q1 2024 to 170.2% in Q3 2022.
- Per Business Quant data, CYTK's Total Non-Current Liabilities in the three quarters before Q2 2026 was $2.07 billion (Q1 2026), $2.05 billion (Q4 2025) and $1.96 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Cytokinetics | 8.46 Bn | 4.63 Bn | 25.89 Mn | 2.07 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.07 Bn |
| Mar 31, 2026 | 2.07 Bn |
| Dec 31, 2025 | 2.05 Bn |
| Sep 30, 2025 | 1.96 Bn |
| Jun 30, 2025 | 1.59 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.54 Bn |
| Sep 30, 2024 | 1.45 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.20 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.18 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.12 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 658.86 Mn |
| Mar 31, 2022 | 736.78 Mn |
| Dec 31, 2021 | 593.00 Mn |
| Sep 30, 2021 | 403.72 Mn |
API Access
Cytokinetics Total Non-Current Liabilities 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-non-current-liabilities&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();