Accuray (ARAY) Non-Current Debt (2015 - 2026)
Accuray (ARAY) posted Non-Current Debt of $146.37 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 18.2% from $123.79 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Accuray (ARAY) Non-Current Debt (2015 - 2026) Analysis & Trends
Since fiscal Q4 2015, Accuray has reported Non-Current Debt for 45 quarters.
- Annual Non-Current Debt shows a five-year compound annual growth rate of -2.9% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Non-Current Debt was $123.79 million in FY2025 (-24.7%), $164.4 million in FY2024 (-4.2%), $171.56 million in FY2023 (-0.2%) and $171.91 million in FY2022 (+1.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non-Current Debt since fiscal Q3 2025.
- On a year-over-year basis, Non-Current Debt increased in 1 of the last eight quarters, with an average decline of 9.7%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was fiscal Q4 2026, with growth of 18.2%; the weakest was fiscal Q2 2026, with a decline of 25.7%.
- According to Business Quant data, Non-Current Debt for the three prior fiscal quarters was $134.02 million (Q3 2026), $124.78 million (Q2 2026) and $127.32 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.59 Bn | 237.62 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 173.19 Bn | 143.62 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 163.64 Bn | 147.45 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 152.55 Bn | 131.97 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.82 Bn | 84.07 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 113.73 Bn | 99.85 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 65.03 Bn | 59.80 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 53.45 Bn | 50.60 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 50.76 Bn | 34.77 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Accuray | 16.54 Mn | -166.79 Mn | 35.08 Mn | 146.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.37 Mn |
| Mar 31, 2026 | 134.02 Mn |
| Dec 31, 2025 | 124.78 Mn |
| Sep 30, 2025 | 127.32 Mn |
| Jun 30, 2025 | 123.79 Mn |
| Mar 31, 2025 | 166.21 Mn |
| Dec 31, 2024 | 167.95 Mn |
| Sep 30, 2024 | 162.47 Mn |
| Jun 30, 2024 | 164.40 Mn |
| Mar 31, 2024 | 166.25 Mn |
| Dec 31, 2023 | 168.02 Mn |
| Sep 30, 2023 | 169.79 Mn |
| Jun 30, 2023 | 171.56 Mn |
| Mar 31, 2023 | 172.83 Mn |
| Dec 31, 2022 | 174.10 Mn |
| Sep 30, 2022 | 170.62 Mn |
| Jun 30, 2022 | 171.91 Mn |
| Mar 31, 2022 | 173.20 Mn |
| Dec 31, 2021 | 174.49 Mn |
| Sep 30, 2021 | 194.15 Mn |
API Access
Accuray Non-Current Debt 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-current-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();