Cytokinetics (CYTK) Return on Sales [ROS] (2010 - 2026)
Cytokinetics (CYTK) reported Return on Sales [ROS] of -625.95% for Q2 2026, down 458.95 percentage points from -167.00% a year earlier but up 322.73 percentage points from the prior quarter.
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Analysis
Cytokinetics (CYTK) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Cytokinetics' Return on Sales [ROS] came in at -1046.12%, down 393.49 percentage points year-over-year; for FY2025, it was -695.44%, up 2879.55 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -527.17 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at -3574.99% in FY2024 (+3014.72 pp), -6589.71% in FY2023 (-6246.96 pp), -342.75% in FY2022 (-78.21 pp) and -264.54% in FY2021 (-96.27 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -52277.91% in Q2 2024 and a high of -12.22% in Q2 2022.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +12021.15 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 52110.91 percentage points); the low point was Q2 2024 (a drop of 38200.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at -948.69% (Q1 2026), -1004.60% (Q4 2025) and -8613.38% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 51.16% |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 28.21% |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 37.86% |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | -3.52% |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 32.97% |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 20.57% |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 34.95% |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | -133.21% |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 28.37% |
| 10 | Cytokinetics | 9.12 Bn | 5.29 Bn | 25.89 Mn | -625.95% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -625.95% |
| Mar 31, 2026 | -948.69% |
| Dec 31, 2025 | -1,004.60% |
| Sep 30, 2025 | -8,613.38% |
| Jun 30, 2025 | -167.00% |
| Mar 31, 2025 | -9,856.30% |
| Dec 31, 2024 | -926.93% |
| Sep 30, 2024 | -30,410.58% |
| Jun 30, 2024 | -52,277.91% |
| Mar 31, 2024 | -15,117.96% |
| Dec 31, 2023 | -7,620.69% |
| Sep 30, 2023 | -32,345.24% |
| Jun 30, 2023 | -14,077.16% |
| Mar 31, 2023 | -2,698.31% |
| Dec 31, 2022 | -6,491.06% |
| Sep 30, 2022 | -4,311.77% |
| Jun 30, 2022 | -12.22% |
| Mar 31, 2022 | -6,781.97% |
| Dec 31, 2021 | -39.04% |
| Sep 30, 2021 | -1,272.78% |
API Access
Cytokinetics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CYTK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CYTK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();