Accuray (ARAY) Operating Expenses (2010 - 2026)
Accuray's Operating Expenses came in at $29.55 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 14.9% from $34.75 million a year earlier and down 14.0% from the prior quarter.
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Analysis
Accuray (ARAY) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Operating Expenses was $137.9 million, down 0.9% from FY2025.
- Operating Expenses has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 0.1% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $139.13 million in FY2025 (-2.3%), $142.42 million in FY2024 (-6.0%), $151.58 million in FY2023 (-0.2%) and $151.81 million in FY2022 (+10.6%).
- The fiscal Q4 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q3 2011.
- Year-over-year, Operating Expenses increased in three of the last eight quarters, with an average decline of 1.4%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2022 (growth of 24.0%), and the weakest in fiscal Q4 2024 (a decline of 17.0%).
- Business Quant data shows ARAY's Operating Expenses at $34.38 million (Q3 2026), $35.64 million (Q2 2026) and $37.86 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.74 Bn | 233.77 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 182.62 Bn | 153.05 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 160.18 Bn | 143.99 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 148.85 Bn | 128.27 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 120.92 Bn | 86.17 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 115.48 Bn | 101.60 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.58 Bn | 61.35 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 53.13 Bn | 50.28 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 50.84 Bn | 34.85 Bn | 1.35 Bn | 840.10 Mn |
| 10 | Accuray | 18.38 Mn | -164.95 Mn | 35.08 Mn | 29.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.55 Mn |
| Mar 31, 2026 | 34.38 Mn |
| Dec 31, 2025 | 35.64 Mn |
| Sep 30, 2025 | 37.86 Mn |
| Jun 30, 2025 | 34.75 Mn |
| Mar 31, 2025 | 30.58 Mn |
| Dec 31, 2024 | 37.19 Mn |
| Sep 30, 2024 | 36.62 Mn |
| Jun 30, 2024 | 31.64 Mn |
| Mar 31, 2024 | 33.64 Mn |
| Dec 31, 2023 | 39.87 Mn |
| Sep 30, 2023 | 37.28 Mn |
| Jun 30, 2023 | 38.14 Mn |
| Mar 31, 2023 | 36.40 Mn |
| Dec 31, 2022 | 40.26 Mn |
| Sep 30, 2022 | 36.78 Mn |
| Jun 30, 2022 | 40.97 Mn |
| Mar 31, 2022 | 35.08 Mn |
| Dec 31, 2021 | 38.65 Mn |
| Sep 30, 2021 | 37.11 Mn |
API Access
Accuray Operating Expenses 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=operating-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();