Accuray (ARAY) Short term Debt (2015 - 2026)
Accuray (ARAY) posted Short term Debt of $1.5 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 88.2% from $12.73 million a year earlier and down 86.6% from the prior quarter.
Accuray (ARAY) Short term Debt (2015 - 2026) Analysis & Trends
Since fiscal Q1 2016, Accuray has reported Short term Debt for 16 quarters.
- In prior fiscal years, Accuray's Short term Debt was $12.73 million in FY2025 (+64.2%) and $7.76 million in FY2024.
- The fiscal Q4 2026 figure stands as the lowest quarterly Short term Debt in data going back to fiscal Q1 2016.
- According to Business Quant data, Short term Debt for the three prior fiscal quarters was $11.16 million (Q3 2026), $11.11 million (Q2 2026) and $12.85 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn |
| 10 | Accuray | 35.83 Mn | -147.50 Mn | 35.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.50 Mn |
| Mar 31, 2026 | 11.16 Mn |
| Dec 31, 2025 | 11.11 Mn |
| Sep 30, 2025 | 12.85 Mn |
| Jun 30, 2025 | 12.73 Mn |
| Jun 30, 2024 | 7.76 Mn |
| Dec 31, 2017 | 39.45 Mn |
| Sep 30, 2017 | 39.15 Mn |
| Jun 30, 2017 | 113.02 Mn |
| Mar 31, 2017 | 115.70 Mn |
| Dec 31, 2016 | 3.50 Mn |
| Sep 30, 2016 | 3.50 Mn |
| Jun 30, 2016 | 39.90 Mn |
| Mar 31, 2016 | 39.28 Mn |
| Dec 31, 2015 | 96.55 Mn |
| Sep 30, 2015 | 95.13 Mn |
Accuray Short term Debt 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=short-term-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "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=short-term-debt&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();