S&P Global (SPGI) Net Income Attributable to Noncontrolling Interests (2009 - 2022)
S&P Global (SPGI) posted Net Income Attributable to Noncontrolling Interests of $70 million for Q3 2022, up 9.4% from $64 million a year earlier but down 11.4% from the prior quarter.
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S&P Global (SPGI) Net Income Attributable to Noncontrolling Interests (2009 - 2022) Analysis & Trends
For the trailing twelve months through Sep 30, 2022, Net Income Attributable to Noncontrolling Interests at S&P Global was $277 million, up 26.5% year-over-year; for FY2011, it was $23 million, down 4.2% from FY2010.
- In prior years, S&P Global's Net Income Attributable to Noncontrolling Interests was $24 million in FY2010 (+26.3%) and $19 million in FY2009.
- Quarterly Net Income Attributable to Noncontrolling Interests has run from a low of $40 million in Q2 2018 to a high of $79 million in Q2 2022 over five years.
- On a year-over-year basis, Net Income Attributable to Noncontrolling Interests has increased in each of the last three quarters, with growth averaging 22.8% over the last six quarters.
- The strongest year-over-year quarter for Net Income Attributable to Noncontrolling Interests in the past five years was Q3 2021, with growth of 48.8%; the weakest was Q3 2020, with a decline of 4.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCI Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 135.95 Bn | 125.80 Bn | 2.64 Bn | - |
| 2 | Moodys | 87.18 Bn | 80.11 Bn | 1.50 Bn | 2.00 Mn |
| 3 | Msci | 46.24 Bn | 44.72 Bn | 739.80 Mn | - |
| 4 | Verisk Analytics | 26.46 Bn | 21.10 Bn | 572.90 Mn | - |
| 5 | Equifax | 22.29 Bn | 21.56 Bn | 940.10 Mn | 1.70 Mn |
| 6 | TransUnion | 15.65 Bn | 12.34 Bn | - | 4.30 Mn |
| 7 | Factset Research Systems | 11.79 Bn | 10.64 Bn | 308.40 Mn | - |
| 8 | Morningstar | 9.04 Bn | 6.93 Bn | 431.40 Mn | - |
| 9 | Mastercard | 577.18 Bn | 537.27 Bn | - | - |
| 10 | Cme | 108.04 Bn | 96.37 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 70.00 Mn |
| Jun 30, 2022 | 79.00 Mn |
| Mar 31, 2022 | 64.00 Mn |
| Sep 30, 2021 | 64.00 Mn |
| Jun 30, 2021 | 59.00 Mn |
| Mar 31, 2021 | 53.00 Mn |
| Sep 30, 2020 | 43.00 Mn |
| Jun 30, 2020 | 50.00 Mn |
| Mar 31, 2020 | 50.00 Mn |
| Sep 30, 2019 | 45.00 Mn |
| Jun 30, 2019 | 47.00 Mn |
| Mar 31, 2019 | 43.00 Mn |
| Sep 30, 2018 | 40.00 Mn |
| Jun 30, 2018 | 40.00 Mn |
| Mar 31, 2018 | 43.00 Mn |
| Sep 30, 2017 | 38.00 Mn |
| Jun 30, 2017 | 36.00 Mn |
| Mar 31, 2017 | 31.00 Mn |
| Sep 30, 2016 | 31.00 Mn |
| Jun 30, 2016 | 29.00 Mn |
API Access
S&P Global Net Income Attributable to Noncontrolling Interests 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=income-from-non-controlling-interests&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-non-controlling-interests", "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=income-from-non-controlling-interests&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();