S&P Global (SPGI) Current Deferred Tax Assets (2009 - 2020)
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 - 2020) 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 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | -14.00 Mn |
| Jun 30, 2020 | 6.00 Mn |
| Mar 31, 2020 | -6.00 Mn |
| Dec 31, 2019 | 46.00 Mn |
| Sep 30, 2019 | 15.00 Mn |
| Jun 30, 2019 | 12.00 Mn |
| Mar 31, 2019 | 10.00 Mn |
| Mar 31, 2017 | -1.00 Mn |
| 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 |
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();