Accuray (ARAY) Cost of Revenue (2010 - 2026)
Accuray (ARAY) posted Cost of Revenue of $65.84 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 25.7% from $88.56 million a year earlier and down 17.2% from the prior quarter.
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Analysis
Accuray (ARAY) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Cost of Revenue came in at $290.49 million, down 6.8% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Cost of Revenue was $311.54 million in FY2025 (+2.6%), $303.63 million in FY2024 (+3.4%), $293.65 million in FY2023 (+8.8%) and $269.95 million in FY2022 (+14.0%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Cost of Revenue since fiscal Q1 2024.
- On a year-over-year basis, Cost of Revenue increased in five of the last eight quarters, with an average decline of 1.1%.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2022, with growth of 36.0%; the weakest was fiscal Q4 2026, with a decline of 25.7%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $79.55 million (Q3 2026), $78.17 million (Q2 2026) and $67.39 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn | 65.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.84 Mn |
| Mar 31, 2026 | 79.55 Mn |
| Dec 31, 2025 | 78.17 Mn |
| Sep 30, 2025 | 67.39 Mn |
| Jun 30, 2025 | 88.56 Mn |
| Mar 31, 2025 | 81.62 Mn |
| Dec 31, 2024 | 74.28 Mn |
| Sep 30, 2024 | 67.08 Mn |
| Jun 30, 2024 | 95.84 Mn |
| Mar 31, 2024 | 72.06 Mn |
| Dec 31, 2023 | 71.34 Mn |
| Sep 30, 2023 | 64.40 Mn |
| Jun 30, 2023 | 80.61 Mn |
| Mar 31, 2023 | 79.34 Mn |
| Dec 31, 2022 | 71.79 Mn |
| Sep 30, 2022 | 61.90 Mn |
| Jun 30, 2022 | 67.00 Mn |
| Mar 31, 2022 | 61.39 Mn |
| Dec 31, 2021 | 73.65 Mn |
| Sep 30, 2021 | 67.92 Mn |
API Access
Accuray Cost of Revenue 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=cost-of-revenue&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();