S&P Global (SPGI) Accumulated Expenses (2009 - 2020)
S&P Global's Accumulated Expenses was $98 million in Q3 2012, down 3.0% from $101 million a year earlier but up 96.0% from the prior quarter.
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Analysis
S&P Global (SPGI) Accumulated Expenses (2009 - 2020) Analysis & Trends
At the end of FY2011, Accumulated Expenses at S&P Global came in at $119 million, up 4.4% from FY2010.
- In earlier years, Accumulated Expenses was $114 million in FY2010 (-0.1%) and $114.16 million in FY2009.
- Quarterly Accumulated Expenses has moved between $31 million (Q1 2010) and $119 million (Q4 2011) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in three of the last eight quarters, with growth averaging 1.1%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q1 2012 (growth of 6.5%); the worst was Q3 2012 (a decline of 3.0%).
- Per Business Quant data, SPGI's Accumulated Expenses in the three quarters before Q3 2012 was $50 million (Q2 2012), $33 million (Q1 2012) and $119 million (Q4 2011).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2020 | 624.00 Mn |
| Jun 30, 2020 | 624.00 Mn |
| Mar 31, 2020 | 624.00 Mn |
| Dec 31, 2019 | 373.00 Mn |
| Sep 30, 2019 | 365.00 Mn |
| Jun 30, 2019 | 304.00 Mn |
| Mar 31, 2019 | 319.00 Mn |
| Dec 31, 2018 | 393.00 Mn |
| Sep 30, 2018 | 679.00 Mn |
| Jun 30, 2018 | 149.00 Mn |
| Mar 31, 2018 | 107.00 Mn |
| Dec 31, 2017 | 376.00 Mn |
| Sep 30, 2017 | 439.00 Mn |
| Jun 30, 2017 | 439.00 Mn |
| Mar 31, 2017 | 439.00 Mn |
| Dec 31, 2016 | 314.00 Mn |
| Sep 30, 2016 | 368.00 Mn |
| Jun 30, 2016 | 368.00 Mn |
| Mar 31, 2016 | 368.00 Mn |
| Dec 31, 2015 | 295.00 Mn |
API Access
S&P Global Accumulated Expenses 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=accumulated-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();