Accuray (ARAY) Property, Plant & Equipment (Net) (2011 - 2026)
Accuray (ARAY) recorded Property, Plant & Equipment (Net) of $27.32 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.7% from $28.66 million a year earlier and down 5.8% from the prior quarter.
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Analysis
Accuray (ARAY) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Accuray's Property, Plant & Equipment (Net) history includes 61 quarters.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 17.2% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $28.66 million in FY2025 (+15.7%), $24.77 million in FY2024 (+18.4%), $20.93 million in FY2023 (+65.0%) and $12.69 million in FY2022 (+2.9%).
- The fiscal Q4 2026 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in seven of the last eight quarters, with growth averaging 6.7%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 132.4% in fiscal Q2 2024, against a decline of 15.7% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $29 million (Q3 2026), $29.26 million (Q2 2026) and $29.01 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn | 27.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.32 Mn |
| Mar 31, 2026 | 29.00 Mn |
| Dec 31, 2025 | 29.26 Mn |
| Sep 30, 2025 | 29.01 Mn |
| Jun 30, 2025 | 28.66 Mn |
| Mar 31, 2025 | 27.08 Mn |
| Dec 31, 2024 | 26.88 Mn |
| Sep 30, 2024 | 25.34 Mn |
| Jun 30, 2024 | 24.77 Mn |
| Mar 31, 2024 | 25.39 Mn |
| Dec 31, 2023 | 25.92 Mn |
| Sep 30, 2023 | 24.96 Mn |
| Jun 30, 2023 | 20.93 Mn |
| Mar 31, 2023 | 11.72 Mn |
| Dec 31, 2022 | 11.16 Mn |
| Sep 30, 2022 | 10.94 Mn |
| Jun 30, 2022 | 12.69 Mn |
| Mar 31, 2022 | 12.22 Mn |
| Dec 31, 2021 | 12.21 Mn |
| Sep 30, 2021 | 12.26 Mn |
API Access
Accuray Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();