Accuray (ARAY) Total Debt (2011 - 2026)
Accuray's Total Debt was $147.87 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.9% from $149.25 million a year earlier but up 1.9% from the prior quarter.
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Analysis
Accuray (ARAY) Total Debt (2011 - 2026) Analysis & Trends
From fiscal Q4 2015 onward, Accuray has reported Total Debt for 45 quarters.
- Total Debt shows a five-year compound annual growth rate of -3.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Debt was $149.25 million in FY2025 (-17.0%), $179.91 million in FY2024 (+1.5%), $177.28 million in FY2023 (-1.8%) and $180.47 million in FY2022 (+3.8%).
- Quarterly Total Debt has moved between $135.89 million (fiscal Q2 2026) and $197.81 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Total Debt has declined for five straight quarters, with an average decline of 8.7% over the last eight quarters.
- The best year-over-year quarter for Total Debt over five years was fiscal Q1 2022 (growth of 10.1%); the worst was fiscal Q2 2026 (a decline of 22.6%).
- Per Business Quant data, ARAY's Total Debt in the three fiscal quarters before Q4 2026 was $145.18 million (Q3 2026), $135.89 million (Q2 2026) and $153.02 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 254.87 Bn | 233.89 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 178.85 Bn | 149.28 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 158.49 Bn | 142.30 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 154.99 Bn | 134.41 Bn | 1.96 Bn | - |
| 5 | Medtronic | 121.02 Bn | 86.28 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 116.94 Bn | 103.05 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 53.23 Bn | 50.38 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 598.70 Mn |
| 10 | Accuray | 17.89 Mn | -165.44 Mn | 35.08 Mn | 147.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.87 Mn |
| Mar 31, 2026 | 145.18 Mn |
| Dec 31, 2025 | 135.89 Mn |
| Sep 30, 2025 | 140.17 Mn |
| Jun 30, 2025 | 136.52 Mn |
| Mar 31, 2025 | 173.78 Mn |
| Dec 31, 2024 | 175.51 Mn |
| Sep 30, 2024 | 170.24 Mn |
| Jun 30, 2024 | 172.16 Mn |
| Mar 31, 2024 | 173.49 Mn |
| Dec 31, 2023 | 174.76 Mn |
| Sep 30, 2023 | 176.02 Mn |
| Jun 30, 2023 | 177.28 Mn |
| Mar 31, 2023 | 178.55 Mn |
| Dec 31, 2022 | 179.80 Mn |
| Sep 30, 2022 | 176.33 Mn |
| Jun 30, 2022 | 180.47 Mn |
| Mar 31, 2022 | 181.25 Mn |
| Dec 31, 2021 | 182.03 Mn |
| Sep 30, 2021 | 197.81 Mn |
API Access
Accuray Total 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=total-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();