Cytokinetics (CYTK) Capital Expenditures (2010 - 2026)
Cytokinetics' Capital Expenditures came in at $4.33 million for Q2 2026, up 4.6% from $4.15 million a year earlier but down 26.9% from the prior quarter.
Cytokinetics (CYTK) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cytokinetics reported Capital Expenditures of $25.26 million, up 114.1% year-over-year; for FY2025, it was $24.81 million, up 535.1% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 17.6% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $3.91 million in FY2024 (+175.8%), $1.42 million in FY2023 (-87.5%), $11.34 million in FY2022 (-76.8%) and $48.87 million in FY2021 (+342.2%).
- The five-year range for quarterly Capital Expenditures is $77,000 (Q4 2023) to $17.75 million (Q4 2021).
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 136.4% over the last five quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2021 (growth of 505.7%), and the weakest in Q4 2023 (a decline of 97.6%).
- Business Quant data shows CYTK's Capital Expenditures at $5.93 million (Q1 2026), $5.64 million (Q4 2025) and $9.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Cytokinetics | 9.13 Bn | 5.30 Bn | 25.89 Mn | 4.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.33 Mn |
| Mar 31, 2026 | 5.93 Mn |
| Dec 31, 2025 | 5.64 Mn |
| Sep 30, 2025 | 9.35 Mn |
| Jun 30, 2025 | 4.15 Mn |
| Mar 31, 2025 | 5.66 Mn |
| Dec 31, 2024 | 1.29 Mn |
| Sep 30, 2024 | 701,000.00 |
| Jun 30, 2024 | 1.92 Mn |
| Dec 31, 2023 | 77,000.00 |
| Sep 30, 2023 | 220,000.00 |
| Jun 30, 2023 | 717,000.00 |
| Mar 31, 2023 | 402,000.00 |
| Dec 31, 2022 | 3.21 Mn |
| Sep 30, 2022 | 6.33 Mn |
| Jun 30, 2022 | 857,000.00 |
| Mar 31, 2022 | 942,000.00 |
| Dec 31, 2021 | 17.75 Mn |
| Sep 30, 2021 | 15.70 Mn |
| Jun 30, 2021 | 8.79 Mn |
Cytokinetics Capital Expenditures 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=capital-expenditures&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();