Cytokinetics (CYTK) Non Operating Interest Expenses (2012 - 2025)
Cytokinetics' Non Operating Interest Expenses came in at $14.27 million for Q4 2025, up 59.7% from $8.94 million a year earlier and up 25.7% from the prior quarter.
Cytokinetics (CYTK) Non Operating Interest Expenses (2012 - 2025) Analysis & Trends
For FY2025, Cytokinetics' Non Operating Interest Expenses was $45.58 million, up 20.9% from FY2024.
- Non Operating Interest Expenses has increased in each of the last ten years, with a five-year compound annual growth rate of 23.3% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $37.7 million in FY2024 (+33.2%), $28.31 million in FY2023 (+45.8%), $19.41 million in FY2022 (+18.1%) and $16.44 million in FY2021 (+3.0%).
- The Q4 2025 figure represents the highest quarterly Non Operating Interest Expenses in data going back to Q3 2012.
- Year-over-year, Non Operating Interest Expenses increased in six of the last seven quarters, with growth averaging 29.5%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q1 2023 (growth of 153.5%), and the weakest in Q1 2022 (a decline of 31.1%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 217.00 Mn |
| 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 | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Cytokinetics | 7.83 Bn | 3.24 Bn | 47.10 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 14.27 Mn |
| Sep 30, 2025 | 11.35 Mn |
| Jun 30, 2025 | 11.08 Mn |
| Dec 31, 2024 | 8.94 Mn |
| Sep 30, 2024 | 8.93 Mn |
| Jun 30, 2024 | 12.73 Mn |
| Mar 31, 2024 | 7.10 Mn |
| Dec 31, 2023 | 7.16 Mn |
| Sep 30, 2023 | 7.14 Mn |
| Jun 30, 2023 | 7.05 Mn |
| Mar 31, 2023 | 6.96 Mn |
| Dec 31, 2022 | 7.06 Mn |
| Sep 30, 2022 | 6.80 Mn |
| Jun 30, 2022 | 2.81 Mn |
| Mar 31, 2022 | 2.75 Mn |
| Dec 31, 2021 | 4.22 Mn |
| Sep 30, 2021 | 4.16 Mn |
| Jun 30, 2021 | 4.07 Mn |
| Mar 31, 2021 | 3.99 Mn |
| Dec 31, 2020 | 4.02 Mn |
Cytokinetics Non Operating Interest 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=non-operating-interest-expenses&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();