Accuray (ARAY) Other Operating Expenses (2010 - 2026)
Accuray (ARAY) posted Other Operating Expenses of $9.59 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 16.0% from $11.41 million a year earlier but up 13.6% from the prior quarter.
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Analysis
Accuray (ARAY) Other Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Other Operating Expenses came in at $38.57 million, down 10.9% from FY2025.
- Annual Other Operating Expenses shows a five-year compound annual growth rate of -2.1% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Other Operating Expenses was $43.32 million in FY2025 (+1.6%), $42.62 million in FY2024 (-7.7%), $46.18 million in FY2023 (-7.0%) and $49.66 million in FY2022 (+16.0%).
- Quarterly Other Operating Expenses has run from a low of $8.44 million in fiscal Q3 2026 to a high of $14.36 million in fiscal Q4 2022 over five years.
- On a year-over-year basis, Other Operating Expenses has declined in each of the last three quarters, with an average decline of 4.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Operating Expenses in the past five years was fiscal Q2 2022, with growth of 27.9%; the weakest was fiscal Q4 2023, with a decline of 25.7%.
- According to Business Quant data, Other Operating Expenses for the three prior fiscal quarters was $8.44 million (Q3 2026), $8.85 million (Q2 2026) and $11.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.59 Mn |
| Mar 31, 2026 | 8.44 Mn |
| Dec 31, 2025 | 8.85 Mn |
| Sep 30, 2025 | 11.97 Mn |
| Jun 30, 2025 | 11.41 Mn |
| Mar 31, 2025 | 9.11 Mn |
| Dec 31, 2024 | 11.11 Mn |
| Sep 30, 2024 | 11.68 Mn |
| Jun 30, 2024 | 10.70 Mn |
| Mar 31, 2024 | 10.32 Mn |
| Dec 31, 2023 | 11.36 Mn |
| Sep 30, 2023 | 10.24 Mn |
| Jun 30, 2023 | 10.67 Mn |
| Mar 31, 2023 | 11.13 Mn |
| Dec 31, 2022 | 13.59 Mn |
| Sep 30, 2022 | 10.80 Mn |
| Jun 30, 2022 | 14.36 Mn |
| Mar 31, 2022 | 10.80 Mn |
| Dec 31, 2021 | 13.23 Mn |
| Sep 30, 2021 | 11.27 Mn |
API Access
Accuray Other 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=other-operating-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();