Open Text (OTEX) Short-term Investments (2009 - 2017)
Open Text's Short-term Investments came in at $2.7 million for fiscal Q3 2017 (quarter ended Mar 31, 2017), down 79.3% from $13.01 million a year earlier and down 16.7% from the prior quarter.
Open Text (OTEX) Short-term Investments (2009 - 2017) Analysis & Trends
At the end of FY2016 (ended Jun 30, 2016), Open Text's Short-term Investments was $11.84 million, up 6.0% from FY2015.
- Going back by fiscal year, Short-term Investments was $11.17 million in FY2015.
- The fiscal Q3 2017 figure represents the lowest quarterly Short-term Investments in data going back to fiscal Q1 2010.
- Year-over-year, Short-term Investments has declined for three consecutive quarters, with an average decline of 54.0% over the last five quarters.
- Business Quant data shows OTEX's Short-term Investments at $3.24 million (Q2 2017), $2.73 million (Q1 2017) and $11.84 million (Q4 2016) in the three fiscal quarters before Q3 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 104.04 Bn | 79.29 Bn | 6.00 Bn |
| 2 | Atlassian | 58.96 Bn | 52.24 Bn | 1.53 Bn |
| 3 | Autodesk | 52.95 Bn | 40.98 Bn | 1.87 Bn |
| 4 | Twilio | 39.82 Bn | 29.89 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.04 Bn | -2.75 Bn | 985.50 Mn |
| 6 | Figma | 12.97 Bn | 6.47 Bn | 309.61 Mn |
| 7 | Dropbox | 8.48 Bn | 4.11 Bn | 506.50 Mn |
| 8 | Nice | 7.54 Bn | 6.01 Bn | 995.81 Mn |
| 9 | RingCentral | 6.99 Bn | 6.49 Bn | 472.31 Mn |
| 10 | Open Text | 6.96 Bn | 2.39 Bn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 2.70 Mn |
| Dec 31, 2016 | 3.24 Mn |
| Sep 30, 2016 | 2.73 Mn |
| Jun 30, 2016 | 11.84 Mn |
| Mar 31, 2016 | 13.01 Mn |
| Dec 31, 2015 | 16.27 Mn |
| Sep 30, 2015 | 18.02 Mn |
| Jun 30, 2015 | 11.17 Mn |
| Mar 31, 2015 | 19.03 Mn |
| Dec 31, 2009 | 8.41 Mn |
| Sep 30, 2009 | 19.77 Mn |
Open Text 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=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "ticker": "OTEX", "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=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();