Cytokinetics (CYTK) Return on Sales [ROS] (2009 - 2026)
Cytokinetics (CYTK) reported Return on Sales [ROS] of -351.34% for Q3 2026, up 8262.04 percentage points from -8613.38% a year earlier and up 274.61 percentage points from the prior quarter.
Cytokinetics (CYTK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Cytokinetics' Return on Sales [ROS] came in at -625.15%, up 46.64 percentage points year-over-year; for FY2025, it was -695.44%.
- 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 -6589.71% in FY2023 (-6246.96 pp), -342.75% in FY2022 (-78.21 pp) and -264.54% in FY2021 (-96.27 pp).
- The Q3 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +12812.07 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 Q3 2026 came in at -625.95% (Q2 2026), -948.69% (Q1 2026) and -1004.60% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Cytokinetics | 7.83 Bn | 3.24 Bn | 47.10 Mn | -351.34% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -351.34% |
| 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% |
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_KEY
import 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();