S&P Global (SPGI) Other Accumulated Expenses (2009 - 2026)
S&P Global (SPGI) reported Other Accumulated Expenses of $1.17 billion for Q2 2026, up 46.5% from $796 million a year earlier but down 2.8% from the prior quarter.
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Analysis
S&P Global (SPGI) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global posted Other Accumulated Expenses of $1.01 billion, up 16.2% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $869 million in FY2024 (-15.9%), $1.03 billion in FY2023 (-5.6%), $1.09 billion in FY2022 (+100.0%) and $547 million in FY2021 (-0.7%).
- Five-year quarterly Other Accumulated Expenses spans a low of $511 million in Q3 2021 and a high of $1.2 billion in Q1 2026.
- Year over year, Other Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q3 2022 (growth of 106.1%); the low point was Q3 2024 (a decline of 26.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.2 billion (Q1 2026), $1.01 billion (Q4 2025) and $799 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Bn |
| Mar 31, 2026 | 1.20 Bn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 799.00 Mn |
| Jun 30, 2025 | 796.00 Mn |
| Mar 31, 2025 | 847.00 Mn |
| Dec 31, 2024 | 869.00 Mn |
| Sep 30, 2024 | 720.00 Mn |
| Jun 30, 2024 | 837.00 Mn |
| Mar 31, 2024 | 975.00 Mn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 977.00 Mn |
| Jun 30, 2023 | 935.00 Mn |
| Mar 31, 2023 | 971.00 Mn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.05 Bn |
| Dec 31, 2021 | 547.00 Mn |
| Sep 30, 2021 | 511.00 Mn |
API Access
S&P Global Other 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=other-accumulated-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();