Cytokinetics (CYTK) Accumulated Expenses (2010 - 2026)
Cytokinetics (CYTK) posted Accumulated Expenses of $76.86 million for Q2 2026, up 46.9% from $52.32 million a year earlier and up 11.6% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics' Accumulated Expenses came in at $83.28 million, up 50.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 33.9% (FY2020 to FY2025).
- In prior years, Cytokinetics' Accumulated Expenses was $55.32 million in FY2024 (+29.7%), $42.64 million in FY2023 (-3.3%), $44.1 million in FY2022 (+28.3%) and $34.37 million in FY2021 (+77.9%).
- Quarterly Accumulated Expenses has run from a low of $29.48 million in Q1 2022 to a high of $83.28 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last ten quarters, with growth averaging 37.5% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2021, with growth of 119.3%; the weakest was Q3 2023, with a decline of 18.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $68.86 million (Q1 2026), $83.28 million (Q4 2025) and $61.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Cytokinetics | 9.16 Bn | 5.33 Bn | 25.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 76.86 Mn |
| Mar 31, 2026 | 68.86 Mn |
| Dec 31, 2025 | 83.28 Mn |
| Sep 30, 2025 | 61.63 Mn |
| Jun 30, 2025 | 52.32 Mn |
| Mar 31, 2025 | 43.36 Mn |
| Dec 31, 2024 | 55.32 Mn |
| Sep 30, 2024 | 49.83 Mn |
| Jun 30, 2024 | 39.81 Mn |
| Mar 31, 2024 | 40.12 Mn |
| Dec 31, 2023 | 42.64 Mn |
| Sep 30, 2023 | 32.95 Mn |
| Jun 30, 2023 | 31.47 Mn |
| Mar 31, 2023 | 35.63 Mn |
| Dec 31, 2022 | 44.10 Mn |
| Sep 30, 2022 | 40.23 Mn |
| Jun 30, 2022 | 36.70 Mn |
| Mar 31, 2022 | 29.48 Mn |
| Dec 31, 2021 | 34.37 Mn |
| Sep 30, 2021 | 31.77 Mn |
API Access
Cytokinetics Accumulated Expenses 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=accumulated-expenses&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();