Accuray (ARAY) Capital Expenditures (2010 - 2026)
Accuray (ARAY) posted Capital Expenditures of $461,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 65.1% from $1.32 million a year earlier and down 2.1% from the prior quarter.
Accuray (ARAY) Capital Expenditures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Capital Expenditures came in at $5.86 million, up 37.2% from FY2025.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 20.4% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Capital Expenditures was $4.27 million in FY2025 (+18.6%), $3.6 million in FY2024 (-71.5%), $12.61 million in FY2023 (+167.4%) and $4.72 million in FY2022 (+103.3%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Capital Expenditures since fiscal Q3 2021.
- On a year-over-year basis, Capital Expenditures increased in five of the last eight quarters, with growth averaging 47.1%.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was fiscal Q4 2023, with growth of 475.6%; the weakest was fiscal Q4 2024, with a decline of 94.2%.
- According to Business Quant data, Capital Expenditures for the three prior fiscal quarters was $471,000 (Q3 2026), $3.03 million (Q2 2026) and $1.9 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn | 461,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461,000.00 |
| Mar 31, 2026 | 471,000.00 |
| Dec 31, 2025 | 3.03 Mn |
| Sep 30, 2025 | 1.90 Mn |
| Jun 30, 2025 | 1.32 Mn |
| Mar 31, 2025 | 958,000.00 |
| Dec 31, 2024 | 874,000.00 |
| Sep 30, 2024 | 1.12 Mn |
| Jun 30, 2024 | 465,000.00 |
| Mar 31, 2024 | 795,000.00 |
| Dec 31, 2023 | 1.25 Mn |
| Sep 30, 2023 | 1.09 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Mar 31, 2023 | 1.81 Mn |
| Dec 31, 2022 | 1.50 Mn |
| Sep 30, 2022 | 1.27 Mn |
| Jun 30, 2022 | 1.40 Mn |
| Mar 31, 2022 | 1.06 Mn |
| Dec 31, 2021 | 803,000.00 |
| Sep 30, 2021 | 1.46 Mn |
Accuray Capital Expenditures 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=capital-expenditures&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();