Accuray (ARAY) Interest Expenses (2021 - 2026)
Accuray (ARAY) recorded Interest Expenses of $8.7 million in 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) Interest Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray reported Interest Expenses of $32.91 million, up 154.0% from FY2025.
- Annual Interest Expenses has increased for four straight fiscal years, with a five-year compound annual growth rate of 14.3% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $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 is the highest quarterly Interest Expenses in data going back to fiscal Q1 2022.
- On a year-over-year basis, Interest Expenses has increased for six consecutive quarters, with growth averaging 85.5% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 192.2% in fiscal Q3 2026, against a decline of 3.5% in fiscal Q4 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.45 million (Q3 2026), $7.71 million (Q2 2026) and $8.05 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 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=interest-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();