Accuray (ARAY) Non Operating Interest Expenses (2021 - 2026)
Accuray's Non Operating Interest Expenses came in at $8.7 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 105.8% from $4.23 million a year earlier and up 3.0% from the prior quarter.
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Analysis
Accuray (ARAY) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Non Operating Interest Expenses was $32.91 million, up 154.0% from FY2025.
- Non Operating Interest Expenses has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $12.95 million in FY2025 (+11.4%), $11.62 million in FY2024 (+9.3%), $10.63 million in FY2023 (+30.8%) and $8.13 million in FY2022 (-51.9%).
- The fiscal Q4 2026 figure represents the highest quarterly Non Operating Interest Expenses in data going back to fiscal Q1 2022.
- Year-over-year, Non Operating Interest Expenses has increased for six consecutive quarters, with growth averaging 85.5% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q3 2026 (growth of 192.2%), and the weakest in fiscal Q4 2024 (a decline of 3.5%).
- Business Quant data shows ARAY's Non Operating Interest Expenses at $8.45 million (Q3 2026), $7.71 million (Q2 2026) and $8.05 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn | 8.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.70 Mn |
| Mar 31, 2026 | 8.45 Mn |
| Dec 31, 2025 | 7.71 Mn |
| Sep 30, 2025 | 8.05 Mn |
| Jun 30, 2025 | 4.23 Mn |
| Mar 31, 2025 | 2.89 Mn |
| Dec 31, 2024 | 2.88 Mn |
| Sep 30, 2024 | 2.96 Mn |
| Jun 30, 2024 | 2.90 Mn |
| Mar 31, 2024 | 2.88 Mn |
| Dec 31, 2023 | 2.92 Mn |
| Sep 30, 2023 | 2.92 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 2.72 Mn |
| Dec 31, 2022 | 2.64 Mn |
| Sep 30, 2022 | 2.26 Mn |
| Jun 30, 2022 | 2.03 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | 2.08 Mn |
| Sep 30, 2021 | 2.04 Mn |
API Access
Accuray Non Operating Interest 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=non-operating-interest-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();