Accuray (ARAY) Short-term Investments (2012 - 2018)
Accuray's Short-term Investments came in at $888,000 for fiscal Q3 2018 (quarter ended Mar 31, 2018), down 96.3% from $23.91 million a year earlier and down 96.4% from the prior quarter.
Accuray (ARAY) Short-term Investments (2012 - 2018) Analysis & Trends
At the end of FY2017 (ended Jun 30, 2017), Accuray's Short-term Investments was $23.91 million, down 49.4% from FY2016.
- Short-term Investments has declined in each of the last four fiscal years, though with a five-year compound annual growth rate of 28.8% (FY2012 to FY2017).
- Going back by fiscal year, Short-term Investments was $47.24 million in FY2016 (-26.5%), $64.31 million in FY2015 (-19.2%), $79.55 million in FY2014 (-21.3%) and $101.08 million in FY2013.
- The fiscal Q3 2018 figure represents the lowest quarterly Short-term Investments in data going back to fiscal Q4 2012.
- Year-over-year, Short-term Investments has declined for eight consecutive quarters, with an average decline of 49.8% over the last eight quarters.
- The fastest year-over-year change in Short-term Investments over five years came in fiscal Q1 2016 (growth of 48.7%), and the weakest in fiscal Q3 2018 (a decline of 96.3%).
- Business Quant data shows ARAY's Short-term Investments at $24.52 million (Q2 2018), $23.93 million (Q1 2018) and $23.91 million (Q4 2017) in the three fiscal quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Accuray | 32.25 Mn | -151.08 Mn | 35.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 888,000.00 |
| Dec 31, 2017 | 24.52 Mn |
| Sep 30, 2017 | 23.93 Mn |
| Jun 30, 2017 | 23.91 Mn |
| Mar 31, 2017 | 23.91 Mn |
| Dec 31, 2016 | 38.91 Mn |
| Sep 30, 2016 | 40.81 Mn |
| Jun 30, 2016 | 47.24 Mn |
| Mar 31, 2016 | 70.65 Mn |
| Dec 31, 2015 | 67.30 Mn |
| Sep 30, 2015 | 67.51 Mn |
| Jun 30, 2015 | 64.31 Mn |
| Mar 31, 2015 | 54.19 Mn |
| Dec 31, 2014 | 53.52 Mn |
| Sep 30, 2014 | 45.42 Mn |
| Jun 30, 2014 | 79.55 Mn |
| Mar 31, 2014 | 86.01 Mn |
| Dec 31, 2013 | 89.20 Mn |
| Sep 30, 2013 | 99.16 Mn |
| Jun 30, 2013 | 101.08 Mn |
Accuray Short-term Investments 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-investments&ticker=ARAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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-investments&ticker=ARAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();