Cytokinetics (CYTK) Cash & Equivalents (2010 - 2026)
Cytokinetics (CYTK) posted Cash & Equivalents of $255.27 million for Q2 2026, up 233.5% from $76.55 million a year earlier and up 96.6% from the prior quarter.
Cytokinetics (CYTK) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics' Cash & Equivalents came in at $122.52 million, up 28.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 8.1% (FY2020 to FY2025).
- In prior years, Cytokinetics' Cash & Equivalents was $95.23 million in FY2024 (-16.0%), $113.4 million in FY2023 (+68.8%), $67.18 million in FY2022 (-40.4%) and $112.67 million in FY2021 (+35.8%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents in data going back to Q2 2010.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last four quarters, with growth averaging 68.4% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 377.0%; the weakest was Q2 2025, with a decline of 59.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $129.84 million (Q1 2026), $122.52 million (Q4 2025) and $225.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn | 20.42 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn | 6.57 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn | 6.85 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn | 7.62 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn | 4.89 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn | 13.99 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn | 3.18 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn | 976.00 Mn |
| 10 | Cytokinetics | 9.12 Bn | 5.29 Bn | 25.89 Mn | 255.27 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 255.27 Mn |
| Mar 31, 2026 | 129.84 Mn |
| Dec 31, 2025 | 122.52 Mn |
| Sep 30, 2025 | 225.47 Mn |
| Jun 30, 2025 | 76.55 Mn |
| Mar 31, 2025 | 74.06 Mn |
| Dec 31, 2024 | 95.23 Mn |
| Sep 30, 2024 | 47.26 Mn |
| Jun 30, 2024 | 190.52 Mn |
| Mar 31, 2024 | 120.35 Mn |
| Dec 31, 2023 | 113.40 Mn |
| Sep 30, 2023 | 100.07 Mn |
| Jun 30, 2023 | 69.01 Mn |
| Mar 31, 2023 | 103.22 Mn |
| Dec 31, 2022 | 67.18 Mn |
| Sep 30, 2022 | 106.24 Mn |
| Jun 30, 2022 | 93.63 Mn |
| Mar 31, 2022 | 115.42 Mn |
| Dec 31, 2021 | 112.67 Mn |
| Sep 30, 2021 | 90.56 Mn |
Cytokinetics Cash & Equivalents 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=cash-and-equivalents&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();