Accuray (ARAY) Operating Leases (2019 - 2026)
Accuray (ARAY) posted Operating Leases of $27.77 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 14.5% from $32.48 million a year earlier and down 4.2% from the prior quarter.
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Analysis
Accuray (ARAY) Operating Leases (2019 - 2026) Analysis & Trends
Since fiscal Q1 2020, Accuray has reported Operating Leases for 28 quarters.
- Annual Operating Leases shows a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Operating Leases was $32.48 million in FY2025 (+0.3%), $32.37 million in FY2024 (+37.2%), $23.6 million in FY2023 (+125.8%) and $10.45 million in FY2022 (-40.1%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Operating Leases since fiscal Q2 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last four quarters, with growth averaging 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was fiscal Q4 2023, with growth of 125.8%; the weakest was fiscal Q4 2022, with a decline of 40.1%.
- According to Business Quant data, Operating Leases for the three prior fiscal quarters was $28.99 million (Q3 2026), $30.18 million (Q2 2026) and $31.48 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.38 Bn | 237.41 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.98 Bn | 142.41 Bn | 7.27 Bn |
| 3 | Danaher | 162.99 Bn | 146.80 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 150.28 Bn | 129.70 Bn | 1.96 Bn |
| 5 | Medtronic | 119.92 Bn | 85.17 Bn | 6.34 Bn |
| 6 | Stryker | 113.47 Bn | 99.59 Bn | 4.50 Bn |
| 7 | Boston Scientific | 65.06 Bn | 59.83 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.40 Bn | 50.55 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.64 Bn | 34.65 Bn | 1.35 Bn |
| 10 | Accuray | 16.94 Mn | -166.39 Mn | 35.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.77 Mn |
| Mar 31, 2026 | 28.99 Mn |
| Dec 31, 2025 | 30.18 Mn |
| Sep 30, 2025 | 31.48 Mn |
| Jun 30, 2025 | 32.48 Mn |
| Mar 31, 2025 | 33.35 Mn |
| Dec 31, 2024 | 30.46 Mn |
| Sep 30, 2024 | 32.48 Mn |
| Jun 30, 2024 | 32.37 Mn |
| Mar 31, 2024 | 28.22 Mn |
| Dec 31, 2023 | 21.76 Mn |
| Sep 30, 2023 | 22.81 Mn |
| Jun 30, 2023 | 23.60 Mn |
| Mar 31, 2023 | 22.47 Mn |
| Dec 31, 2022 | 22.66 Mn |
| Sep 30, 2022 | 24.12 Mn |
| Jun 30, 2022 | 10.45 Mn |
| Mar 31, 2022 | 11.93 Mn |
| Dec 31, 2021 | 13.76 Mn |
| Sep 30, 2021 | 15.89 Mn |
API Access
Accuray Operating Leases 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=operating-leases&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();