Accuray (ARAY) Gains from Sales and Divestitures (2010 - 2026)
Accuray (ARAY) recorded Gains from Sales and Divestitures of -$144,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026).
Analysis
Accuray (ARAY) Gains from Sales and Divestitures (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray reported Gains from Sales and Divestitures of -$538,000.
- Across earlier fiscal years, Gains from Sales and Divestitures came in at -$11,000 in FY2024, $135,000 in FY2023 and -$28,000 in FY2022.
- The fiscal Q4 2026 figure is the highest quarterly Gains from Sales and Divestitures since fiscal Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -144,000.00 |
| Dec 31, 2025 | -234,000.00 |
| Sep 30, 2025 | -160,000.00 |
| Jun 30, 2024 | -6,000.00 |
| Sep 30, 2023 | -5,000.00 |
| Jun 30, 2023 | 190,000.00 |
| Mar 31, 2023 | -53,000.00 |
| Sep 30, 2022 | -2,000.00 |
| Dec 31, 2021 | -6,000.00 |
| Sep 30, 2021 | -22,000.00 |
| Jun 30, 2021 | -44,000.00 |
| Mar 31, 2021 | -60,000.00 |
| Sep 30, 2020 | -2,000.00 |
| Mar 31, 2020 | -9,000.00 |
| Jun 30, 2019 | -2.34 Mn |
| Mar 31, 2019 | -94,000.00 |
| Dec 31, 2018 | -137,000.00 |
| Sep 30, 2018 | -19,000.00 |
| Mar 31, 2018 | 19,000.00 |
| Sep 30, 2017 | -11,000.00 |
API Access
Accuray Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();