Cytokinetics (CYTK) Non-Current Assets (2010 - 2026)
Cytokinetics (CYTK) posted Non-Current Assets of $637.63 million for Q3 2026, up 38.9% from $459.21 million a year earlier but down 11.0% from the prior quarter.
Cytokinetics (CYTK) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Cytokinetics' Non-Current Assets came in at $507.56 million, up 72.8% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 53.5% (FY2020 to FY2025).
- In prior years, Cytokinetics' Non-Current Assets was $293.73 million in FY2024 (+49.7%), $196.27 million in FY2023 (-10.6%), $219.59 million in FY2022 (-28.2%) and $305.65 million in FY2021 (+413.0%).
- Quarterly Non-Current Assets has run from a low of $169.38 million in Q1 2024 to a high of $716.06 million in Q2 2026 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last five quarters, with growth averaging 47.5% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q4 2021, with growth of 413.0%; the weakest was Q3 2022, with a decline of 42.4%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $716.06 million (Q2 2026), $434.01 million (Q1 2026) and $507.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 82.81 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 141.07 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 110.20 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 75.00 Mn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 94.68 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 87.87 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 61.69 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 34.86 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 159.99 Bn |
| 10 | Cytokinetics | 7.81 Bn | 3.81 Bn | 47.10 Mn | 637.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 637.63 Mn |
| Jun 30, 2026 | 716.06 Mn |
| Mar 31, 2026 | 434.01 Mn |
| Dec 31, 2025 | 507.56 Mn |
| Sep 30, 2025 | 459.21 Mn |
| Jun 30, 2025 | 339.09 Mn |
| Mar 31, 2025 | 308.00 Mn |
| Dec 31, 2024 | 293.73 Mn |
| Sep 30, 2024 | 417.46 Mn |
| Jun 30, 2024 | 455.98 Mn |
| Mar 31, 2024 | 169.38 Mn |
| Dec 31, 2023 | 196.27 Mn |
| Sep 30, 2023 | 179.20 Mn |
| Jun 30, 2023 | 193.32 Mn |
| Mar 31, 2023 | 209.19 Mn |
| Dec 31, 2022 | 219.59 Mn |
| Sep 30, 2022 | 191.69 Mn |
| Jun 30, 2022 | 169.47 Mn |
| Mar 31, 2022 | 232.73 Mn |
| Dec 31, 2021 | 305.65 Mn |
Cytokinetics Non-Current Assets 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=non-current-assets&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();