Cytokinetics (CYTK) Long-Term Investments (2010 - 2026)
Cytokinetics' Long-Term Investments was $538.32 million in Q2 2026, up 202.1% from $178.2 million a year earlier and up 111.3% from the prior quarter.
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Analysis
Cytokinetics (CYTK) Long-Term Investments (2010 - 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%).
- The Q2 2026 figure marks the highest quarterly Long-Term Investments in data going back to Q4 2010.
- Compared with a year earlier, Long-Term Investments has increased for four straight quarters, with growth averaging 215.1% over the last seven 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 Q2 2026 was $254.72 million (Q1 2026), $335.05 million (Q4 2025) and $288.82 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | - |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 266.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 1.22 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 69.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 2.62 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 | 1.56 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 5.79 Bn |
| 10 | Cytokinetics | 9.16 Bn | 5.33 Bn | 25.89 Mn | 538.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 191.30 Mn |
API Access
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_KEYimport 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();