Accuray Inc (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.
Accuray Inc (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 Comparison
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 |
Accuray Inc 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_KEY
import 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();