Cytokinetics (CYTK) EBITDA Margin (2010 - 2026)
Cytokinetics' EBITDA Margin came in at -613.27% for Q2 2026, down 449.68 percentage points from -163.58% a year earlier but up 317.97 percentage points from the prior quarter.
Cytokinetics (CYTK) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Cytokinetics reported EBITDA Margin of -1027.58%, down 386.14 percentage points year-over-year; for FY2025, it came in at -683.94%, up 2827.51 percentage points from FY2024.
- EBITDA Margin carries a five-year change of -518.95 percentage points (FY2020 to FY2025).
- Going back by year, EBITDA Margin was -3511.45% in FY2024 (+2920.33 pp), -6431.78% in FY2023 (-6095.17 pp), -336.61% in FY2022 (-75.29 pp) and -261.31% in FY2021 (-96.32 pp).
- The five-year range for quarterly EBITDA Margin is -51311.65% (Q2 2024) to -10.64% (Q2 2022).
- Year-over-year, EBITDA Margin increased in six of the last eight quarters, with an average year-over-year change of +11779.88 percentage points.
- The fastest year-over-year change in EBITDA Margin over five years came in Q2 2025 (a gain of 51148.07 percentage points), and the weakest in Q2 2024 (a drop of 37448.44 percentage points).
- Business Quant data shows CYTK's EBITDA Margin at -931.23% (Q1 2026), -988.48% (Q4 2025) and -8475.00% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 35.95% |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 49.01% |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.02% |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 33.11% |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 46.01% |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -124.26% |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 39.16% |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 39.10% |
| 10 | Cytokinetics | 9.20 Bn | 5.37 Bn | 25.89 Mn | -613.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -613.27% |
| Mar 31, 2026 | -931.23% |
| Dec 31, 2025 | -988.48% |
| Sep 30, 2025 | -8,475.00% |
| Jun 30, 2025 | -163.58% |
| Mar 31, 2025 | -9,710.64% |
| Dec 31, 2024 | -911.05% |
| Sep 30, 2024 | -29,889.85% |
| Jun 30, 2024 | -51,311.65% |
| Mar 31, 2024 | -14,838.80% |
| Dec 31, 2023 | -7,241.81% |
| Sep 30, 2023 | -31,854.76% |
| Jun 30, 2023 | -13,863.21% |
| Mar 31, 2023 | -2,658.25% |
| Dec 31, 2022 | -6,406.34% |
| Sep 30, 2022 | -4,255.79% |
| Jun 30, 2022 | -10.64% |
| Mar 31, 2022 | -6,665.16% |
| Dec 31, 2021 | -37.72% |
| Sep 30, 2021 | -1,264.28% |
Cytokinetics EBITDA Margin 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=ebitda-margin&ticker=CYTK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();