Accuray (ARAY) Long-Term Debt Repayments (2016 - 2024)
Accuray's Long-Term Debt Repayments was $18 million in FY2026 (year ended Jun 30, 2026), down 73.7% from $68.5 million in FY2025.
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Analysis
Accuray (ARAY) Long-Term Debt Repayments (2016 - 2024) Analysis & Trends
From FY2014 onward, Accuray has reported Long-Term Debt Repayments for 9 fiscal years.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of -31.1% (FY2021 to FY2026).
- Annual Long-Term Debt Repayments has moved between $2.87 million (FY2023) and $68.5 million (FY2025) over five years.
- Per Business Quant data, Long-Term Debt Repayments in earlier fiscal years was $68.5 million in FY2025, $5 million in FY2024 (+74.5%) and $2.87 million in FY2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn | - |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn | - |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn | - |
| 10 | Accuray | 15.92 Mn | -167.41 Mn | 35.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 5.00 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2021 | 105.42 Mn |
| Sep 30, 2020 | 10.50 Mn |
| Mar 31, 2018 | 40.22 Mn |
| Sep 30, 2017 | 29.58 Mn |
| Jun 30, 2017 | 61.50 Mn |
| Mar 31, 2017 | 1.18 Mn |
| Dec 31, 2016 | 5.88 Mn |
| Sep 30, 2016 | 36.61 Mn |
| Jun 30, 2016 | 875,000.00 |
API Access
Accuray Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();