Accuray (ARAY) Other Accumulated Expenses (2011 - 2026)
Accuray (ARAY) recorded Other Accumulated Expenses of $32.24 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.8% from $29.36 million a year earlier and up 22.2% from the prior quarter.
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Analysis
Accuray (ARAY) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Accuray's Other Accumulated Expenses history includes 61 quarters.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- Across earlier fiscal years, Other Accumulated Expenses came in at $29.36 million in FY2025 (+3.0%), $28.51 million in FY2024 (-25.5%), $38.27 million in FY2023 (+26.4%) and $30.29 million in FY2022 (+10.2%).
- The fiscal Q4 2026 figure is the highest quarterly Other Accumulated Expenses since fiscal Q3 2025.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with an average decline of 4.7%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 64.1% in fiscal Q1 2022, against a decline of 30.5% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $26.37 million (Q3 2026), $30.9 million (Q2 2026) and $26.27 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.24 Mn |
| Mar 31, 2026 | 26.37 Mn |
| Dec 31, 2025 | 30.90 Mn |
| Sep 30, 2025 | 26.27 Mn |
| Jun 30, 2025 | 29.36 Mn |
| Mar 31, 2025 | 34.94 Mn |
| Dec 31, 2024 | 27.99 Mn |
| Sep 30, 2024 | 25.46 Mn |
| Jun 30, 2024 | 28.51 Mn |
| Mar 31, 2024 | 30.70 Mn |
| Dec 31, 2023 | 36.25 Mn |
| Sep 30, 2023 | 36.63 Mn |
| Jun 30, 2023 | 38.27 Mn |
| Mar 31, 2023 | 36.81 Mn |
| Dec 31, 2022 | 30.30 Mn |
| Sep 30, 2022 | 30.20 Mn |
| Jun 30, 2022 | 30.29 Mn |
| Mar 31, 2022 | 26.02 Mn |
| Dec 31, 2021 | 33.88 Mn |
| Sep 30, 2021 | 31.26 Mn |
API Access
Accuray Other Accumulated 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-accumulated-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();