Accuray (ARAY) EV to CFO (2011 - 2025)
Accuray's EV to CFO was 12.34 in fiscal Q2 2026 (quarter ended Dec 31, 2025), up 119.0% from the prior quarter.
Accuray (ARAY) EV to CFO (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, Accuray's EV to CFO was -31.33 through Dec 31, 2025; for FY2025 (ended Jun 30, 2025), it came in at 33.88.
- In earlier fiscal years, EV to CFO was 18.29 in FY2023 and 7.64 in FY2021.
- Quarterly EV to CFO has moved between 4.73 (fiscal Q3 2025) and 96.70 (fiscal Q3 2023) over five years.
- Per Business Quant data, ARAY's EV to CFO in the three fiscal quarters before Q2 2026 was 5.63 (Q1 2026), 33.88 (Q4 2025) and 4.73 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 252.63 Bn | 231.66 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 175.75 Bn | 146.18 Bn | 7.27 Bn |
| 3 | Danaher | 163.32 Bn | 147.13 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 155.50 Bn | 134.93 Bn | 1.96 Bn |
| 5 | Medtronic | 121.54 Bn | 86.79 Bn | 6.34 Bn |
| 6 | Stryker | 117.02 Bn | 103.14 Bn | 4.50 Bn |
| 7 | Boston Scientific | 66.56 Bn | 61.33 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.19 Bn | 51.34 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.52 Bn | 35.53 Bn | 1.35 Bn |
| 10 | Accuray | 16.18 Mn | -167.15 Mn | 35.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 12.34 |
| Sep 30, 2025 | 5.63 |
| Jun 30, 2025 | 33.88 |
| Mar 31, 2025 | 4.73 |
| Dec 31, 2023 | 10.49 |
| Sep 30, 2023 | 26.97 |
| Jun 30, 2023 | 18.29 |
| Mar 31, 2023 | 96.70 |
| Sep 30, 2022 | 18.26 |
| Mar 31, 2022 | 24.81 |
| Dec 31, 2021 | 6.92 |
| Sep 30, 2021 | 7.76 |
| Jun 30, 2021 | 7.64 |
| Mar 31, 2021 | 6.56 |
| Dec 31, 2020 | 12.13 |
| Sep 30, 2020 | 6.36 |
| Dec 31, 2018 | 507.95 |
| Sep 30, 2018 | 23.69 |
| Jun 30, 2018 | 14.73 |
| Mar 31, 2018 | 26.25 |
Accuray EV to CFO 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=ev-to-cfo&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();