Cytokinetics (CYTK) Long-Term Investments (2009 - 2026)
Cytokinetics' Long-Term Investments was $453.63 million in Q3 2026, up 57.1% from $288.82 million a year earlier but down 15.7% from the prior quarter.
Cytokinetics (CYTK) Long-Term Investments (2009 - 2026) Analysis & Trends
At the end of FY2025, Long-Term Investments at Cytokinetics came in at $335.05 million, up 131.0% from FY2024.
- Long-Term Investments shows a five-year compound annual growth rate of 55.4% (FY2020 to FY2025).
- In earlier years, Long-Term Investments was $145.06 million in FY2024 (+257.9%), $40.53 million in FY2023 (-13.2%), $46.71 million in FY2022 (-69.3%) and $152.05 million in FY2021 (+311.5%).
- Quarterly Long-Term Investments has moved between $10.67 million (Q2 2022) and $538.32 million (Q2 2026) over five years.
- Compared with a year earlier, Long-Term Investments has increased for five straight quarters, with growth averaging 195.3% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q1 2025 (growth of 880.0%); the worst was Q2 2022 (a decline of 85.5%).
- Per Business Quant data, CYTK's Long-Term Investments in the three quarters before Q3 2026 was $538.32 million (Q2 2026), $254.72 million (Q1 2026) and $335.05 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 4.01 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 387.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 1.60 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 63.00 Mn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 268.00 Mn |
| 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 | 1.45 Bn |
| 10 | Cytokinetics | 7.83 Bn | 3.24 Bn | 47.10 Mn | 453.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 453.63 Mn |
| Jun 30, 2026 | 538.32 Mn |
| Mar 31, 2026 | 254.72 Mn |
| Dec 31, 2025 | 335.05 Mn |
| Sep 30, 2025 | 288.82 Mn |
| Jun 30, 2025 | 178.20 Mn |
| Mar 31, 2025 | 150.69 Mn |
| Dec 31, 2024 | 145.06 Mn |
| Sep 30, 2024 | 269.17 Mn |
| Jun 30, 2024 | 305.36 Mn |
| Mar 31, 2024 | 15.38 Mn |
| Dec 31, 2023 | 40.53 Mn |
| Sep 30, 2023 | 15.47 Mn |
| Jun 30, 2023 | 26.87 Mn |
| Mar 31, 2023 | 40.41 Mn |
| Dec 31, 2022 | 46.71 Mn |
| Sep 30, 2022 | 28.54 Mn |
| Jun 30, 2022 | 10.67 Mn |
| Mar 31, 2022 | 77.08 Mn |
| Dec 31, 2021 | 152.05 Mn |
Cytokinetics Long-Term Investments 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=long-term-investments&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();