Accuray (ARAY) Shares Outstanding (Diluted) (2010 - 2026)
Accuray's Shares Outstanding (Diluted) came in at 120.97 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.7% from 102.77 million a year earlier and unchanged from the prior quarter.
Accuray (ARAY) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Going back to fiscal Q1 2011, Accuray's Shares Outstanding (Diluted) data covers 64 quarters.
- Shares Outstanding (Diluted) has increased in each of the last 12 fiscal years, with a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Diluted) was 102.77 million in FY2025 (+4.6%), 98.27 million in FY2024 (+3.6%), 94.88 million in FY2023 (+3.0%) and 92.1 million in FY2022 (+0.1%).
- Year-over-year, Shares Outstanding (Diluted) has increased for 17 consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in fiscal Q1 2026 (growth of 18.7%), and the weakest in fiscal Q1 2022 (a decline of 0.9%).
- Business Quant data shows ARAY's Shares Outstanding (Diluted) at 120.97 million (Q3 2026), 120.97 million (Q2 2026) and 118.95 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 371.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 1.74 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 707.60 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 357.30 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.29 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 386.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 577.60 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 275.16 Mn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn | 120.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 120.97 Mn |
| Mar 31, 2026 | 120.97 Mn |
| Dec 31, 2025 | 120.97 Mn |
| Sep 30, 2025 | 118.95 Mn |
| Jun 30, 2025 | 102.77 Mn |
| Mar 31, 2025 | 102.83 Mn |
| Dec 31, 2024 | 103.75 Mn |
| Sep 30, 2024 | 100.23 Mn |
| Jun 30, 2024 | 98.27 Mn |
| Mar 31, 2024 | 99.20 Mn |
| Dec 31, 2023 | 97.78 Mn |
| Sep 30, 2023 | 96.56 Mn |
| Jun 30, 2023 | 94.88 Mn |
| Mar 31, 2023 | 97.46 Mn |
| Dec 31, 2022 | 94.57 Mn |
| Sep 30, 2022 | 93.53 Mn |
| Jun 30, 2022 | 92.10 Mn |
| Mar 31, 2022 | 92.76 Mn |
| Dec 31, 2021 | 93.93 Mn |
| Sep 30, 2021 | 90.84 Mn |
Accuray Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();