Accuray (ARAY) Cash & Equivalents (2010 - 2026)
Accuray (ARAY) recorded Cash & Equivalents of $40.62 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 29.2% from $57.42 million a year earlier but up 6.7% from the prior quarter.
Accuray (ARAY) Cash & Equivalents (2010 - 2026) Analysis & Trends
Starting with fiscal Q1 2011, Accuray's Cash & Equivalents history includes 64 quarters.
- Annual Cash & Equivalents has declined for three straight fiscal years, with a five-year compound annual growth rate of -19.0% (FY2021 to FY2026).
- Across earlier fiscal years, Cash & Equivalents came in at $57.42 million in FY2025 (-16.3%), $68.57 million in FY2024 (-23.3%), $89.4 million in FY2023 (+0.7%) and $88.74 million in FY2022 (-23.7%).
- Quarterly Cash & Equivalents has ranged from $38.07 million in fiscal Q3 2026 to $123.2 million in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for three consecutive quarters, with an average decline of 16.5% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 28.7% in fiscal Q3 2025, against a decline of 51.1% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $38.07 million (Q3 2026), $41.3 million (Q2 2026) and $63.34 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn | 40.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.62 Mn |
| Mar 31, 2026 | 38.07 Mn |
| Dec 31, 2025 | 41.30 Mn |
| Sep 30, 2025 | 63.34 Mn |
| Jun 30, 2025 | 57.42 Mn |
| Mar 31, 2025 | 77.82 Mn |
| Dec 31, 2024 | 62.58 Mn |
| Sep 30, 2024 | 59.21 Mn |
| Jun 30, 2024 | 68.57 Mn |
| Mar 31, 2024 | 60.45 Mn |
| Dec 31, 2023 | 72.76 Mn |
| Sep 30, 2023 | 76.92 Mn |
| Jun 30, 2023 | 89.40 Mn |
| Mar 31, 2023 | 89.06 Mn |
| Dec 31, 2022 | 67.73 Mn |
| Sep 30, 2022 | 81.01 Mn |
| Jun 30, 2022 | 88.74 Mn |
| Mar 31, 2022 | 97.84 Mn |
| Dec 31, 2021 | 123.20 Mn |
| Sep 30, 2021 | 104.68 Mn |
Accuray Cash & Equivalents 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=cash-and-equivalents&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();