Accuray (ARAY) Market Capitalization (2010 - 2026)
Accuray (ARAY) posted Market Capitalization of $31.05 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 79.9% from $154.32 million a year earlier and down 33.0% from the prior quarter.
Accuray (ARAY) Market Capitalization (2010 - 2026) Analysis & Trends
Since fiscal Q1 2011, Accuray has reported Market Capitalization for 64 quarters.
- Annual Market Capitalization has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -40.3% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Market Capitalization was $154.32 million in FY2025 (-15.4%), $182.35 million in FY2024 (-51.2%), $373.59 million in FY2023 (+103.9%) and $183.26 million in FY2022 (-55.4%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Market Capitalization in data going back to fiscal Q1 2011.
- On a year-over-year basis, Market Capitalization has declined in each of the last three quarters, with an average decline of 37.7% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q4 2023, with growth of 103.9%; the weakest was fiscal Q4 2026, with a decline of 79.9%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $46.38 million (Q3 2026), $97.4 million (Q2 2026) and $189.18 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.05 Mn |
| Mar 31, 2026 | 46.38 Mn |
| Dec 31, 2025 | 97.40 Mn |
| Sep 30, 2025 | 189.18 Mn |
| Jun 30, 2025 | 154.32 Mn |
| Mar 31, 2025 | 184.10 Mn |
| Dec 31, 2024 | 203.56 Mn |
| Sep 30, 2024 | 180.78 Mn |
| Jun 30, 2024 | 182.35 Mn |
| Mar 31, 2024 | 245.13 Mn |
| Dec 31, 2023 | 280.63 Mn |
| Sep 30, 2023 | 263.10 Mn |
| Jun 30, 2023 | 373.59 Mn |
| Mar 31, 2023 | 283.81 Mn |
| Dec 31, 2022 | 199.58 Mn |
| Sep 30, 2022 | 195.06 Mn |
| Jun 30, 2022 | 183.26 Mn |
| Mar 31, 2022 | 307.18 Mn |
| Dec 31, 2021 | 442.34 Mn |
| Sep 30, 2021 | 359.13 Mn |
Accuray Market Capitalization 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=market-capitalization&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();