Accuray (ARAY) Total Non-Current Liabilities (2011 - 2026)
Accuray (ARAY) posted Total Non-Current Liabilities of $396.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $1.3 million a year earlier.
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Analysis
Accuray (ARAY) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Accuray has reported Total Non-Current Liabilities for 61 quarters.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 213.9% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Total Non-Current Liabilities was $1.3 million in FY2025, $86,000 in FY2024 (-62.1%), $227,000 in FY2023 (-73.7%) and $862,000 in FY2022 (-33.7%).
- The fiscal Q4 2026 figure stands as the highest quarterly Total Non-Current Liabilities since fiscal Q2 2020.
- On a year-over-year basis, Total Non-Current Liabilities increased in two of the last five quarters, with growth averaging 327.0%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was fiscal Q2 2025, with growth of 951.5%; the weakest was fiscal Q2 2024, with a decline of 75.5%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior fiscal quarters was $924,000 (Q3 2026), $1.1 million (Q2 2026) and $1.13 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn | 396.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 396.50 Mn |
| Mar 31, 2026 | 924,000.00 |
| Dec 31, 2025 | 1.10 Mn |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 1.30 Mn |
| Mar 31, 2025 | 1.33 Mn |
| Dec 31, 2024 | 1.41 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 86,000.00 |
| Mar 31, 2024 | 113,000.00 |
| Dec 31, 2023 | 134,000.00 |
| Sep 30, 2023 | 174,000.00 |
| Jun 30, 2023 | 227,000.00 |
| Mar 31, 2023 | 398,000.00 |
| Dec 31, 2022 | 547,000.00 |
| Sep 30, 2022 | 669,000.00 |
| Jun 30, 2022 | 862,000.00 |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Sep 30, 2021 | 1.15 Mn |
API Access
Accuray Total 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=total-non-current-liabilities&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();