S&P Global (SPGI) Current Deferred Tax Assets (2009 - 2016)
S&P Global (SPGI) posted Current Deferred Tax Assets of $107 million for Q3 2016, down 47.3% from $203 million a year earlier and down 2.7% from the prior quarter.
S&P Global (SPGI) Current Deferred Tax Assets (2009 - 2016) Analysis & Trends
At the end of FY2015, S&P Global's Current Deferred Tax Assets came in at $109 million, down 69.7% from FY2014.
- Annual Current Deferred Tax Assets shows a five-year compound annual growth rate of -17.3% (FY2010 to FY2015).
- In prior years, S&P Global's Current Deferred Tax Assets was $360 million in FY2014 (+233.3%), $108 million in FY2013 (-7.7%), $117 million in FY2012 (+6.4%) and $110 million in FY2011 (-60.9%).
- The Q3 2016 figure stands as the lowest quarterly Current Deferred Tax Assets in data going back to Q1 2009.
- On a year-over-year basis, Current Deferred Tax Assets has declined in each of the last four quarters, with growth averaging 47.2% over the last eight quarters.
- The strongest year-over-year quarter for Current Deferred Tax Assets in the past five years was Q4 2014, with growth of 233.3%; the weakest was Q4 2015, with a decline of 69.7%.
- According to Business Quant data, Current Deferred Tax Assets for the three prior quarters was $110 million (Q2 2016), $110 million (Q1 2016) and $109 million (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 107.00 Mn |
| Jun 30, 2016 | 110.00 Mn |
| Mar 31, 2016 | 110.00 Mn |
| Dec 31, 2015 | 109.00 Mn |
| Sep 30, 2015 | 203.00 Mn |
| Jun 30, 2015 | 203.00 Mn |
| Mar 31, 2015 | 329.00 Mn |
| Dec 31, 2014 | 360.00 Mn |
| Sep 30, 2014 | 108.00 Mn |
| Jun 30, 2014 | 109.00 Mn |
| Mar 31, 2014 | 110.00 Mn |
| Dec 31, 2013 | 108.00 Mn |
| Sep 30, 2013 | 130.00 Mn |
| Jun 30, 2013 | 131.00 Mn |
| Mar 31, 2013 | 133.00 Mn |
| Dec 31, 2012 | 117.00 Mn |
| Sep 30, 2012 | 260.00 Mn |
| Jun 30, 2012 | 259.00 Mn |
| Mar 31, 2012 | 259.00 Mn |
| Dec 31, 2011 | 110.00 Mn |
S&P Global Current Deferred Tax Assets 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-deferred-tax-assets&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-deferred-tax-assets", "ticker": "SPGI", "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-deferred-tax-assets&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();