Oracle Corp (ORCL-PD) Current Taxes (2012 - 2015)
Oracle's (ORCL-PD) quarterly Current Taxes came in at $532.0 million in Q2 2015, up 27.88% year-over-year from $416.0 million in Q2 2014, and up 67.3% on a QoQ basis from $318.0 million in Q1 2015.
Oracle Corp (ORCL-PD) Current Taxes (2012 - 2015) Analysis & Trends
Oracle (ORCL-PD) has 4 years of Current Taxes data on file, last reported at $532.0 million in Q2 2015.
- On a quarterly basis, Current Taxes rose 27.88% year-over-year to $532.0 million in Q2 2015; TTM through May 2015 was $532.0 million, a 27.88% increase from a year earlier, with the FY2015 full-year figure at $532.0 million, up 27.88% from the prior year.
- Current Taxes for Q2 2015 stood at $532.0 million, up from $318.0 million in the prior quarter.
- Across five years, Current Taxes topped out at $911.0 million in Q2 2013 and bottomed at $318.0 million in Q1 2015.
- Historically, Current Taxes has averaged $512.2 million across 4 years, with a median of $484.0 million in 2012.
- The widest annual swing landed in 2013, when Current Taxes jumped 72.54%; it then plunged 54.34% in 2014.
- Year by year, Current Taxes stood at $528.0 million in 2012, then gained by 2.84% to $543.0 million in 2013, then decreased by 18.97% to $440.0 million in 2014, then rose by 20.91% to $532.0 million in 2015.
- Per Business Quant data, the three most recent Current Taxes figures were $532.0 million in Q2 2015, $318.0 million in Q1 2015, and $440.0 million in Q4 2014.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| May 31, 2015 | 532.00 Mn |
| Feb 28, 2015 | 318.00 Mn |
| Nov 30, 2014 | 440.00 Mn |
| Aug 31, 2014 | 425.00 Mn |
| May 31, 2014 | 416.00 Mn |
| Feb 28, 2014 | 438.00 Mn |
| Nov 30, 2013 | 543.00 Mn |
| Aug 31, 2013 | 571.00 Mn |
| May 31, 2013 | 911.00 Mn |
| May 31, 2012 | 528.00 Mn |
Oracle Corp Current Taxes 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=current-taxes&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "ticker": "ORCL-PD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=current-taxes&ticker=ORCL-PD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();