Cytokinetics (CYTK) Total Liabilities (2010 - 2026)
Cytokinetics' Total Liabilities came in at $2.15 billion for Q3 2026, up 9.6% from $1.96 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics' Total Liabilities was $2.08 billion, up 35.6% from FY2024.
- Total Liabilities has increased in each of the last 13 years, with a five-year compound annual growth rate of 37.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $1.54 billion in FY2024 (+27.0%), $1.21 billion in FY2023 (+7.8%), $1.12 billion in FY2022 (+87.9%) and $597.46 million in FY2021 (+42.1%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities has increased for 21 consecutive quarters, with growth averaging 27.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 7.6% in Q1 2024 to 88.7% in Q3 2022.
- Business Quant data shows CYTK's Total Liabilities at $2.1 billion (Q2 2026), $2.1 billion (Q1 2026) and $2.08 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Cytokinetics | 7.81 Bn | 3.81 Bn | 47.10 Mn | 2.15 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.15 Bn |
| Jun 30, 2026 | 2.10 Bn |
| Mar 31, 2026 | 2.10 Bn |
| Dec 31, 2025 | 2.08 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 | 660.30 Mn |
| Mar 31, 2022 | 739.99 Mn |
| Dec 31, 2021 | 597.46 Mn |
API Access
Cytokinetics Total 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-liabilities&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();