Accuray (ARAY) Shares Outstanding (2010 - 2026)
Accuray (ARAY) reported Shares Outstanding of 122.64 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.3% from 102.77 million a year earlier but down 1.3% from the prior quarter.
Accuray (ARAY) Shares Outstanding (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Accuray's Shares Outstanding record includes 64 quarters.
- Shares Outstanding has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding came in at 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%).
- Five-year quarterly Shares Outstanding spans a low of 90.84 million in fiscal Q1 2022 and a high of 124.3 million in fiscal Q3 2026.
- Year over year, Shares Outstanding has now increased in each of the last 17 quarters, with growth averaging 11.7% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was fiscal Q3 2026 (growth of 20.9%); the low point was fiscal Q1 2022 (a decline of 0.4%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 124.3 million (Q3 2026), 120.97 million (Q2 2026) and 118.95 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (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 | 705.30 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 354.10 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 383.50 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 | 576.40 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 274.79 Mn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn | 122.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.64 Mn |
| Mar 31, 2026 | 124.30 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 | 101.41 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 | 95.52 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 | 91.76 Mn |
| Sep 30, 2021 | 90.84 Mn |
Accuray Shares Outstanding 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&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();