S&P Global (SPGI) Other Operating Expenses (2009 - 2026)
S&P Global (SPGI) reported Other Operating Expenses of $1.44 billion for Q2 2026, up 3.7% from $1.39 billion a year earlier but down 4.7% from the prior quarter.
Powered by 
Analysis
S&P Global (SPGI) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, S&P Global's Other Operating Expenses came in at $5.77 billion, up 4.5% year-over-year; for FY2025, it was $5.31 billion, up 1.5% from FY2024.
- Other Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 20.4% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $5.23 billion in FY2024 (+6.0%), $4.94 billion in FY2023 (+13.8%), $4.34 billion in FY2022 (+98.4%) and $2.19 billion in FY2021 (+4.3%).
- Five-year quarterly Other Operating Expenses spans a low of $564 million in Q3 2021 and a high of $1.51 billion in Q1 2026.
- Year over year, Other Operating Expenses has now increased in each of the last 11 quarters, with growth averaging 4.7% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q2 2022 (growth of 129.5%); the low point was Q3 2023 (a decline of 0.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.51 billion (Q1 2026), $1.44 billion (Q4 2025) and $1.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.23 Bn |
| Jun 30, 2026 | 1.44 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 2.06 Bn |
| Sep 30, 2025 | 1.18 Bn |
| Jun 30, 2025 | 1.39 Bn |
| Mar 31, 2025 | 1.42 Bn |
| Dec 31, 2024 | 1.38 Bn |
| Sep 30, 2024 | 1.34 Bn |
| Jun 30, 2024 | 1.34 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.29 Bn |
| Sep 30, 2023 | 1.26 Bn |
| Jun 30, 2023 | 1.29 Bn |
| Mar 31, 2023 | 1.35 Bn |
| Dec 31, 2022 | 1.27 Bn |
| Sep 30, 2022 | 1.26 Bn |
| Jun 30, 2022 | 1.27 Bn |
| Mar 31, 2022 | 860.00 Mn |
| Dec 31, 2021 | 604.00 Mn |
API Access
S&P Global Other Operating 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-operating-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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-operating-expenses&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();