Accuray (ARAY) Receivables (2011 - 2026)
Accuray posted quarterly Receivables of $64.9 million for Q1 2026, up 185.91% year-on-year from $22.7 million in Q1 2025, and up 5.78% on a QoQ basis from $61.3 million in Q4 2025.
Accuray (ARAY) has 16 years of Receivables data on file, last reported at $64.9 million in Q1 2026.
- For the quarter ending Q1 2026, Receivables rose 185.91% year-over-year to $64.9 million; the trailing twelve-month figure through Mar 2026 stood at $64.9 million (up 185.91% YoY), and the FY2025 full-year result was $95.0 million, down 14.5% from the prior year.
- Receivables for Q1 2026 stood at $64.9 million, up from $61.3 million in the prior quarter.
- Across five years, Receivables topped out at $119.3 million in Q2 2022 and bottomed at $4.9 million in Q4 2023.
- The 5-year median for Receivables is $67.7 million (2025), against an average of $60.2 million.
- The widest annual swing landed in 2023, when Receivables sank 87.39%; it then jumped 1690.28% in 2024.
- A 5-year view of Receivables shows it stood at $5.8 million in 2022, then retreated by 15.1% to $4.9 million in 2023, then surged by 1690.28% to $87.7 million in 2024, then tumbled by 30.03% to $61.3 million in 2025, then grew by 5.78% to $64.9 million in 2026.
- The last three Receivables figures came in at $64.9 million (Q1 2026), $61.3 million (Q4 2025), and $67.7 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Abbott Laboratories | 152.82 Bn | 146.17 Bn | 6.27 Bn | 8.21 Bn |
| 2 | Stryker | 115.07 Bn | 112.19 Bn | 3.81 Bn | 3.57 Bn |
| 3 | Medtronic | 95.25 Bn | 87.08 Bn | 5.76 Bn | 6.36 Bn |
| 4 | Boston Scientific | 71.38 Bn | 70.17 Bn | 3.61 Bn | 3.15 Bn |
| 5 | Edwards Lifesciences | 51.08 Bn | 47.41 Bn | 1.29 Bn | 973.00 Mn |
| 6 | Koninklijke Philips | 29.38 Bn | 26.07 Bn | 2.07 Bn | 3.82 Bn |
| 7 | Dexcom | 28.84 Bn | 27.72 Bn | 750.30 Mn | 1.11 Bn |
| 8 | GE HealthCare Technologies | 28.56 Bn | 26.49 Bn | 1.98 Bn | 4.50 Bn |
| 9 | Steris | 20.71 Bn | 20.30 Bn | 697.10 Mn | 1.09 Bn |
| 10 | Accuray | 47,295.88 | -38.49 Mn | 25.29 Mn | 64.87 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Mar 31, 2026 | 64.87 Mn |
| Dec 31, 2025 | 61.33 Mn |
| Sep 30, 2025 | 67.75 Mn |
| Jun 30, 2025 | 95.02 Mn |
| Mar 31, 2025 | 22.69 Mn |
| Dec 31, 2024 | 87.65 Mn |
| Sep 30, 2024 | 92.14 Mn |
| Jun 30, 2024 | 111.13 Mn |
| Mar 31, 2024 | 88.04 Mn |
| Dec 31, 2023 | 4.90 Mn |
| Sep 30, 2023 | 77.50 Mn |
| Jun 30, 2023 | 15.04 Mn |
| Mar 31, 2023 | 15.02 Mn |
| Dec 31, 2022 | 5.77 Mn |
| Sep 30, 2022 | 5.89 Mn |
| Jun 30, 2022 | 119.27 Mn |
| Mar 31, 2022 | 89.84 Mn |
| Dec 31, 2021 | 16.57 Mn |
| Sep 30, 2021 | 16.11 Mn |
| Jun 30, 2021 | 97.71 Mn |
| Mar 31, 2021 | 13.88 Mn |
| Dec 31, 2020 | 65.96 Mn |
| Sep 30, 2020 | 15.52 Mn |
| Jun 30, 2020 | 102.34 Mn |
| Mar 31, 2020 | 16.97 Mn |
| Dec 31, 2019 | 99.26 Mn |
| Sep 30, 2019 | 10.72 Mn |
| Jun 30, 2019 | 9.38 Mn |
| Mar 31, 2019 | 107.79 Mn |
| Dec 31, 2018 | 97.36 Mn |
| Sep 30, 2018 | 77.53 Mn |
| Jun 30, 2018 | 69.21 Mn |
| Mar 31, 2018 | 81.85 Mn |
| Dec 31, 2017 | 80.91 Mn |
| Sep 30, 2017 | 69.65 Mn |
| Jun 30, 2017 | 75.60 Mn |
| Mar 31, 2017 | 87.09 Mn |
| Dec 31, 2016 | 71.67 Mn |
| Sep 30, 2016 | 56.94 Mn |
| Jun 30, 2016 | 59.47 Mn |
| Mar 31, 2016 | 89.32 Mn |
| Dec 31, 2015 | 66.04 Mn |
| Sep 30, 2015 | 56.64 Mn |
| Jun 30, 2015 | 77.73 Mn |
| Mar 31, 2015 | 61.38 Mn |
| Dec 31, 2014 | 62.99 Mn |
| Sep 30, 2014 | 52.94 Mn |
| Jun 30, 2014 | 72.15 Mn |
| Mar 31, 2014 | 59.26 Mn |
| Dec 31, 2013 | 73.78 Mn |
| Sep 30, 2013 | 62.09 Mn |
| Jun 30, 2013 | 57.62 Mn |
| Mar 31, 2013 | 54.40 Mn |
| Dec 31, 2012 | 63.84 Mn |
| Sep 30, 2012 | 57.85 Mn |
| Jun 30, 2012 | 69.59 Mn |
| Mar 31, 2012 | 72.48 Mn |
| Dec 31, 2011 | 73.93 Mn |
| Sep 30, 2011 | 77.91 Mn |
| Jun 30, 2011 | 64.17 Mn |