Accuray (ARAY) Prepaid Assets (2011 - 2026)
Accuray's Prepaid Assets was $31.78 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.1% from $33.5 million a year earlier and down 5.0% from the prior quarter.
Accuray (ARAY) Prepaid Assets (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Accuray has reported Prepaid Assets for 61 quarters.
- Prepaid Assets shows a five-year compound annual growth rate of 8.1% (FY2021 to FY2026).
- In earlier fiscal years, Prepaid Assets was $33.5 million in FY2025 (+45.6%), $23.01 million in FY2024 (-16.7%), $27.61 million in FY2023 (+16.0%) and $23.79 million in FY2022 (+10.4%).
- Quarterly Prepaid Assets has moved between $19.04 million (fiscal Q3 2024) and $36.97 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Prepaid Assets was higher in six of the last eight quarters, with growth averaging 20.9%.
- The best year-over-year quarter for Prepaid Assets over five years was fiscal Q3 2025 (growth of 53.4%); the worst was fiscal Q1 2025 (a decline of 25.5%).
- Per Business Quant data, ARAY's Prepaid Assets in the three fiscal quarters before Q4 2026 was $33.46 million (Q3 2026), $36.97 million (Q2 2026) and $29.37 million (Q1 2026).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.78 Mn |
| Mar 31, 2026 | 33.46 Mn |
| Dec 31, 2025 | 36.97 Mn |
| Sep 30, 2025 | 29.37 Mn |
| Jun 30, 2025 | 33.50 Mn |
| Mar 31, 2025 | 29.20 Mn |
| Dec 31, 2024 | 25.44 Mn |
| Sep 30, 2024 | 21.46 Mn |
| Jun 30, 2024 | 23.01 Mn |
| Mar 31, 2024 | 19.04 Mn |
| Dec 31, 2023 | 25.02 Mn |
| Sep 30, 2023 | 28.80 Mn |
| Jun 30, 2023 | 27.61 Mn |
| Mar 31, 2023 | 25.46 Mn |
| Dec 31, 2022 | 23.54 Mn |
| Sep 30, 2022 | 24.24 Mn |
| Jun 30, 2022 | 23.79 Mn |
| Mar 31, 2022 | 21.99 Mn |
| Dec 31, 2021 | 20.94 Mn |
| Sep 30, 2021 | 22.26 Mn |
Accuray Prepaid 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=prepaid-assets&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();