Accuray (ARAY) Inventory (2011 - 2026)
Accuray (ARAY) recorded Inventory of $147.08 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.3% from $141.02 million a year earlier but down 6.1% from the prior quarter.
Accuray (ARAY) Inventory (2011 - 2026) Analysis & Trends
Starting with fiscal Q4 2011, Accuray's Inventory history includes 61 quarters.
- Annual Inventory has a five-year compound annual growth rate of 3.2% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $141.02 million in FY2025 (+1.9%), $138.32 million in FY2024 (-4.7%), $145.15 million in FY2023 (+2.0%) and $142.25 million in FY2022 (+13.0%).
- Quarterly Inventory has ranged from $123.68 million in fiscal Q2 2022 to $159.57 million in fiscal Q3 2024 over the past five years.
- On a year-over-year basis, Inventory has increased for five consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Inventory in the last five years was growth of 25.9% in fiscal Q2 2023, against a decline of 10.8% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $156.63 million (Q3 2026), $150.96 million (Q2 2026) and $155.5 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn | 147.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 147.08 Mn |
| Mar 31, 2026 | 156.63 Mn |
| Dec 31, 2025 | 150.96 Mn |
| Sep 30, 2025 | 155.50 Mn |
| Jun 30, 2025 | 141.02 Mn |
| Mar 31, 2025 | 146.45 Mn |
| Dec 31, 2024 | 148.83 Mn |
| Sep 30, 2024 | 154.88 Mn |
| Jun 30, 2024 | 138.32 Mn |
| Mar 31, 2024 | 159.57 Mn |
| Dec 31, 2023 | 155.23 Mn |
| Sep 30, 2023 | 149.98 Mn |
| Jun 30, 2023 | 145.15 Mn |
| Mar 31, 2023 | 150.58 Mn |
| Dec 31, 2022 | 155.67 Mn |
| Sep 30, 2022 | 152.62 Mn |
| Jun 30, 2022 | 142.25 Mn |
| Mar 31, 2022 | 137.52 Mn |
| Dec 31, 2021 | 123.68 Mn |
| Sep 30, 2021 | 126.49 Mn |
Accuray Inventory 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=inventory&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();