Cytokinetics (CYTK) Accumulated Expenses (2009 - 2026)
Cytokinetics (CYTK) posted Accumulated Expenses of $90.87 million for Q3 2026, up 47.4% from $61.63 million a year earlier and up 18.2% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Accumulated Expenses (2009 - 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%).
- The Q3 2026 figure stands as the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 37.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 99.1%; the weakest was Q3 2023, with a decline of 18.1%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $76.86 million (Q2 2026), $68.86 million (Q1 2026) and $83.28 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Cytokinetics | 7.83 Bn | 3.24 Bn | 47.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 90.87 Mn |
| 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 |
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();