Accuray (ARAY) Other Non-Current Liabilities (2011 - 2026)
Accuray's Other Non-Current Liabilities was $5.48 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 35.5% from $8.5 million a year earlier and down 20.9% from the prior quarter.
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Analysis
Accuray (ARAY) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Accuray has reported Other Non-Current Liabilities for 61 quarters.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -6.7% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Liabilities was $8.5 million in FY2025 (+15.0%), $7.39 million in FY2024 (+58.1%), $4.68 million in FY2023 (+24.7%) and $3.75 million in FY2022 (-51.7%).
- The fiscal Q4 2026 figure marks the lowest quarterly Other Non-Current Liabilities since fiscal Q3 2024.
- Compared with a year earlier, Other Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 17.5%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q4 2024 (growth of 58.1%); the worst was fiscal Q1 2023 (a decline of 53.7%).
- Per Business Quant data, ARAY's Other Non-Current Liabilities in the three fiscal quarters before Q4 2026 was $6.93 million (Q3 2026), $6.48 million (Q2 2026) and $10.37 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.48 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 6.48 Mn |
| Sep 30, 2025 | 10.37 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 6.13 Mn |
| Dec 31, 2024 | 6.01 Mn |
| Sep 30, 2024 | 7.34 Mn |
| Jun 30, 2024 | 7.39 Mn |
| Mar 31, 2024 | 4.97 Mn |
| Dec 31, 2023 | 4.80 Mn |
| Sep 30, 2023 | 4.90 Mn |
| Jun 30, 2023 | 4.68 Mn |
| Mar 31, 2023 | 4.64 Mn |
| Dec 31, 2022 | 5.18 Mn |
| Sep 30, 2022 | 3.63 Mn |
| Jun 30, 2022 | 3.75 Mn |
| Mar 31, 2022 | 6.81 Mn |
| Dec 31, 2021 | 6.70 Mn |
| Sep 30, 2021 | 7.84 Mn |
API Access
Accuray Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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=other-non-current-liabilities&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();