Accuray (ARAY) Non-Current Assets (2011 - 2026)
Accuray (ARAY) posted Non-Current Assets of $155.9 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 903.9% from $15.53 million a year earlier and up 949.5% from the prior quarter.
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Analysis
Accuray (ARAY) Non-Current Assets (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Accuray has reported Non-Current Assets for 61 quarters.
- Annual Non-Current Assets shows a five-year compound annual growth rate of 46.9% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Non-Current Assets was $15.53 million in FY2025 (+34.1%), $11.58 million in FY2024 (-19.3%), $14.35 million in FY2023 (-27.2%) and $19.7 million in FY2022 (-13.5%).
- The fiscal Q4 2026 figure stands as the highest quarterly Non-Current Assets since fiscal Q4 2012.
- On a year-over-year basis, Non-Current Assets increased in six of the last eight quarters, with growth averaging 123.2%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was fiscal Q4 2026, with growth of 903.9%; the weakest was fiscal Q4 2023, with a decline of 27.2%.
- According to Business Quant data, Non-Current Assets for the three prior fiscal quarters was $14.86 million (Q3 2026), $15.09 million (Q2 2026) and $15.11 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.31 Bn | 237.34 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 173.24 Bn | 143.67 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 163.70 Bn | 147.51 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 152.89 Bn | 132.31 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 118.89 Bn | 84.14 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.70 Bn | 99.82 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.15 Bn | 59.92 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.35 Bn | 50.50 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.80 Bn | 34.81 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Accuray | 16.53 Mn | -166.80 Mn | 35.08 Mn | 155.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.90 Mn |
| Mar 31, 2026 | 154.39 Mn |
| Dec 31, 2025 | 155.62 Mn |
| Sep 30, 2025 | 153.21 Mn |
| Jun 30, 2025 | 15.53 Mn |
| Mar 31, 2025 | 16.43 Mn |
| Dec 31, 2024 | 16.00 Mn |
| Sep 30, 2024 | 15.01 Mn |
| Jun 30, 2024 | 11.58 Mn |
| Mar 31, 2024 | 12.43 Mn |
| Dec 31, 2023 | 13.42 Mn |
| Sep 30, 2023 | 13.58 Mn |
| Jun 30, 2023 | 14.35 Mn |
| Mar 31, 2023 | 16.50 Mn |
| Dec 31, 2022 | 17.36 Mn |
| Sep 30, 2022 | 17.66 Mn |
| Jun 30, 2022 | 19.70 Mn |
| Mar 31, 2022 | 21.75 Mn |
| Dec 31, 2021 | 22.14 Mn |
| Sep 30, 2021 | 22.68 Mn |
API Access
Accuray Non-Current Assets 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-assets&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();