Cytokinetics (CYTK) Net Margin (2010 - 2026)
Cytokinetics (CYTK) posted Net Margin of -399.67% for Q3 2026, up 15415.31 percentage points from -15814.98% a year earlier and up 294.72 percentage points from the prior quarter.
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Analysis
Cytokinetics (CYTK) Net Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Net Margin at Cytokinetics was -686.67%, up 195.02 percentage points year-over-year; for FY2025, it came in at -891.65%.
- Annual Net Margin shows a five-year change of -663.65 percentage points (FY2020 to FY2025).
- In prior years, Cytokinetics' Net Margin was -6988.63% in FY2023 (-6577.42 pp), -411.21% in FY2022 (-105.49 pp) and -305.72% in FY2021 (-77.72 pp).
- The Q3 2026 figure stands as the highest quarterly Net Margin since Q2 2025.
- On a year-over-year basis, Net Margin increased in six of the last eight quarters, with an average year-over-year change of +14184.37 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q2 2025, with a gain of 57356.18 percentage points; the weakest was Q2 2024, with a drop of 42720.41 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was -694.39% (Q2 2026), -1064.48% (Q1 2026) and -1031.12% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 26.44% |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 0.83% |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 24.24% |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.01% |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 22.65% |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 16.30% |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 37.28% |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 29.27% |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 19.55% |
| 10 | Cytokinetics | 7.81 Bn | 3.81 Bn | 47.10 Mn | -399.67% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -399.67% |
| Jun 30, 2026 | -694.39% |
| Mar 31, 2026 | -1,064.48% |
| Dec 31, 2025 | -1,031.12% |
| Sep 30, 2025 | -15,814.98% |
| Jun 30, 2025 | -201.25% |
| Mar 31, 2025 | -10,220.14% |
| Dec 31, 2024 | -1,000.13% |
| Sep 30, 2024 | -34,674.95% |
| Jun 30, 2024 | -57,557.43% |
| Mar 31, 2024 | -16,244.67% |
| Dec 31, 2023 | -8,187.56% |
| Sep 30, 2023 | -34,238.62% |
| Jun 30, 2023 | -14,837.02% |
| Mar 31, 2023 | -2,846.07% |
| Dec 31, 2022 | -7,019.93% |
| Sep 30, 2022 | -5,658.45% |
| Jun 30, 2022 | -22.28% |
| Mar 31, 2022 | -7,791.38% |
| Dec 31, 2021 | -54.98% |
API Access
Cytokinetics Net 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=net-margin&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-margin&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();