Cytokinetics (CYTK) Payables (2010 - 2026)
Cytokinetics (CYTK) posted Payables of $20.51 million for Q2 2026, up 26.4% from $16.23 million a year earlier but down 17.0% from the prior quarter.
Powered by 
Analysis
Cytokinetics (CYTK) Payables (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics' Payables came in at $22.34 million, up 9.7% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In prior years, Cytokinetics' Payables was $20.37 million in FY2024 (-5.3%), $21.51 million in FY2023 (-16.0%), $25.61 million in FY2022 (+21.5%) and $21.09 million in FY2021 (+162.0%).
- Quarterly Payables has run from a low of $9.47 million in Q2 2024 to a high of $25.61 million in Q4 2022 over five years.
- On a year-over-year basis, Payables has increased in each of the last six quarters, with growth averaging 32.7% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q4 2021, with growth of 162.0%; the weakest was Q1 2024, with a decline of 25.3%.
- According to Business Quant data, Payables for the three prior quarters was $24.71 million (Q1 2026), $22.34 million (Q4 2025) and $22.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Cytokinetics | 9.20 Bn | 5.37 Bn | 25.89 Mn | 20.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.51 Mn |
| Mar 31, 2026 | 24.71 Mn |
| Dec 31, 2025 | 22.34 Mn |
| Sep 30, 2025 | 22.08 Mn |
| Jun 30, 2025 | 16.23 Mn |
| Mar 31, 2025 | 13.94 Mn |
| Dec 31, 2024 | 20.37 Mn |
| Sep 30, 2024 | 11.58 Mn |
| Jun 30, 2024 | 9.47 Mn |
| Mar 31, 2024 | 12.97 Mn |
| Dec 31, 2023 | 21.51 Mn |
| Sep 30, 2023 | 13.80 Mn |
| Jun 30, 2023 | 12.56 Mn |
| Mar 31, 2023 | 17.36 Mn |
| Dec 31, 2022 | 25.61 Mn |
| Sep 30, 2022 | 14.43 Mn |
| Jun 30, 2022 | 14.08 Mn |
| Mar 31, 2022 | 19.84 Mn |
| Dec 31, 2021 | 21.09 Mn |
| Sep 30, 2021 | 16.22 Mn |
API Access
Cytokinetics Payables 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=payables&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();