Accuray (ARAY) Return on Sales [ROS] (2010 - 2026)
Accuray's Return on Sales [ROS] was 5.47% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.15 percentage points from 3.32% a year earlier and up 14.14 percentage points from the prior quarter.
Accuray (ARAY) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Sales [ROS] at Accuray came in at -6.58%, down 8.29 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of -12.19 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 1.71% in FY2025 (+1.60 pp), 0.11% in FY2024 (-0.42 pp), 0.53% in FY2023 (-1.36 pp) and 1.90% in FY2022 (-3.72 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q2 2021.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -3.19 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2025 (a gain of 7.75 percentage points); the worst was fiscal Q2 2026 (a drop of 15.36 percentage points).
- Per Business Quant data, ARAY's Return on Sales [ROS] in the three fiscal quarters before Q4 2026 was -8.67% (Q3 2026), -11.31% (Q2 2026) and -12.04% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn | 5.47% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.47% |
| Mar 31, 2026 | -8.67% |
| Dec 31, 2025 | -11.31% |
| Sep 30, 2025 | -12.04% |
| Jun 30, 2025 | 3.32% |
| Mar 31, 2025 | 0.92% |
| Dec 31, 2024 | 4.05% |
| Sep 30, 2024 | -2.12% |
| Jun 30, 2024 | 5.08% |
| Mar 31, 2024 | -4.51% |
| Dec 31, 2023 | -3.70% |
| Sep 30, 2023 | 2.13% |
| Jun 30, 2023 | -0.39% |
| Mar 31, 2023 | 1.96% |
| Dec 31, 2022 | 2.36% |
| Sep 30, 2022 | -2.26% |
| Jun 30, 2022 | 1.86% |
| Mar 31, 2022 | -0.30% |
| Dec 31, 2021 | 3.42% |
| Sep 30, 2021 | 2.24% |
Accuray 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=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ARAY", "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=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();