Accuray (ARAY) Accounts Payables (2011 - 2026)
Accuray (ARAY) posted Accounts Payables of $40.55 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 19.2% from $34.03 million a year earlier but down 23.2% from the prior quarter.
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Analysis
Accuray (ARAY) Accounts Payables (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, Accuray has reported Accounts Payables for 61 quarters.
- Annual Accounts Payables shows a five-year compound annual growth rate of 15.8% (FY2021 to FY2026).
- In prior fiscal years, Accuray's Accounts Payables was $34.03 million in FY2025 (-32.0%), $50.02 million in FY2024 (+48.3%), $33.74 million in FY2023 (+7.7%) and $31.34 million in FY2022 (+61.0%).
- Quarterly Accounts Payables has run from a low of $22.57 million in fiscal Q1 2022 to a high of $53.99 million in fiscal Q2 2025 over five years.
- On a year-over-year basis, Accounts Payables increased in five of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Accounts Payables in the past five years was fiscal Q2 2022, with growth of 169.0%; the weakest was fiscal Q4 2025, with a decline of 32.0%.
- According to Business Quant data, Accounts Payables for the three prior fiscal quarters was $52.81 million (Q3 2026), $43.52 million (Q2 2026) and $42.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 210.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 6.11 Bn |
| 10 | Accuray | 32.25 Mn | -151.08 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 | 42.40 Mn |
| Jun 30, 2025 | 34.03 Mn |
| Mar 31, 2025 | 46.32 Mn |
| Dec 31, 2024 | 53.99 Mn |
| Sep 30, 2024 | 49.81 Mn |
| Jun 30, 2024 | 50.02 Mn |
| Mar 31, 2024 | 44.43 Mn |
| Dec 31, 2023 | 39.18 Mn |
| Sep 30, 2023 | 34.88 Mn |
| Jun 30, 2023 | 33.74 Mn |
| Mar 31, 2023 | 28.65 Mn |
| Dec 31, 2022 | 33.86 Mn |
| Sep 30, 2022 | 32.95 Mn |
| Jun 30, 2022 | 31.34 Mn |
| Mar 31, 2022 | 32.36 Mn |
| Dec 31, 2021 | 29.26 Mn |
| Sep 30, 2021 | 22.57 Mn |
API Access
Accuray Accounts 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=accounts-payables&ticker=ARAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-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=accounts-payables&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();