Accuray (ARAY) Selling, General & Administrative (2010 - 2026)
Accuray's Selling, General & Administrative came in at $11.51 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.0% from $11.87 million a year earlier but up 2.6% from the prior quarter.
Accuray (ARAY) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Accuray's Selling, General & Administrative was $45.4 million, down 5.2% from FY2025.
- Selling, General & Administrative carries a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- Going back by fiscal year, Selling, General & Administrative was $47.87 million in FY2025 (-4.4%), $50.07 million in FY2024 (+3.7%), $48.27 million in FY2023 (+8.7%) and $44.39 million in FY2022 (+6.4%).
- The five-year range for quarterly Selling, General & Administrative is $10.07 million (fiscal Q2 2026) to $14.52 million (fiscal Q1 2026).
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 2.7%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q1 2022 (growth of 28.9%), and the weakest in fiscal Q2 2026 (a decline of 19.0%).
- Business Quant data shows ARAY's Selling, General & Administrative at $11.23 million (Q3 2026), $10.07 million (Q2 2026) and $14.52 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 2.33 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 4.03 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.07 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 617.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.20 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.23 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.80 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 561.20 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 1.26 Bn |
| 10 | Accuray | 33.44 Mn | -149.89 Mn | 35.08 Mn | 11.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.51 Mn |
| Mar 31, 2026 | 11.23 Mn |
| Dec 31, 2025 | 10.07 Mn |
| Sep 30, 2025 | 14.52 Mn |
| Jun 30, 2025 | 11.87 Mn |
| Mar 31, 2025 | 10.76 Mn |
| Dec 31, 2024 | 12.43 Mn |
| Sep 30, 2024 | 12.82 Mn |
| Jun 30, 2024 | 11.41 Mn |
| Mar 31, 2024 | 12.41 Mn |
| Dec 31, 2023 | 13.22 Mn |
| Sep 30, 2023 | 13.02 Mn |
| Jun 30, 2023 | 13.28 Mn |
| Mar 31, 2023 | 11.06 Mn |
| Dec 31, 2022 | 12.04 Mn |
| Sep 30, 2022 | 11.89 Mn |
| Jun 30, 2022 | 12.04 Mn |
| Mar 31, 2022 | 10.17 Mn |
| Dec 31, 2021 | 10.72 Mn |
| Sep 30, 2021 | 11.46 Mn |
Accuray Selling, General & Administrative 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=selling-general-and-administrative&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();