Accuray (ARAY) Payables (2011 - 2026)
Accuray (ARAY) posted Payables of $40.55 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 13.3% from $46.77 million a year earlier and down 23.2% from the prior quarter.
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Analysis
Accuray (ARAY) Payables (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Accuray has reported Payables for 61 quarters.
- Annual Payables shows a five-year compound annual growth rate of 11.8% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Payables was $46.77 million in FY2025 (-19.1%), $57.78 million in FY2024 (+46.4%), $39.46 million in FY2023 (-1.1%) and $39.9 million in FY2022 (+71.6%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Payables since fiscal Q4 2023.
- On a year-over-year basis, Payables has declined in each of the last five quarters, with growth averaging 1.3% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was fiscal Q4 2022, with growth of 71.6%; the weakest was fiscal Q2 2026, with a decline of 29.3%.
- According to Business Quant data, Payables for the three prior fiscal quarters was $52.81 million (Q3 2026), $43.52 million (Q2 2026) and $55.25 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn | 40.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.55 Mn |
| Mar 31, 2026 | 52.81 Mn |
| Dec 31, 2025 | 43.52 Mn |
| Sep 30, 2025 | 55.25 Mn |
| Jun 30, 2025 | 46.77 Mn |
| Mar 31, 2025 | 53.89 Mn |
| Dec 31, 2024 | 61.55 Mn |
| Sep 30, 2024 | 57.58 Mn |
| Jun 30, 2024 | 57.78 Mn |
| Mar 31, 2024 | 51.68 Mn |
| Dec 31, 2023 | 45.92 Mn |
| Sep 30, 2023 | 41.11 Mn |
| Jun 30, 2023 | 39.46 Mn |
| Mar 31, 2023 | 34.36 Mn |
| Dec 31, 2022 | 39.56 Mn |
| Sep 30, 2022 | 38.65 Mn |
| Jun 30, 2022 | 39.90 Mn |
| Mar 31, 2022 | 40.42 Mn |
| Dec 31, 2021 | 36.80 Mn |
| Sep 30, 2021 | 26.23 Mn |
API Access
Accuray Payables 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=payables&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();