S&P Global (SPGI) Other Operating Expenses (2009 - 2026)
S&P Global (SPGI) recorded Other Operating Expenses of $1.44 billion in Q2 2026, up 3.7% from $1.39 billion a year earlier but down 4.7% from the prior quarter.
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Analysis
S&P Global (SPGI) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, S&P Global's Other Operating Expenses came in at $5.77 billion as of Jun 30, 2026, up 4.5% year-over-year; for FY2025, it came in at $5.63 billion, up 3.6% from FY2024.
- Annual Other Operating Expenses has increased for eight straight years, with a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $5.44 billion in FY2024 (+4.9%), $5.18 billion in FY2023 (+11.3%), $4.66 billion in FY2022 (+104.7%) and $2.28 billion in FY2021 (+2.7%).
- Quarterly Other Operating Expenses has ranged from $564 million in Q3 2021 to $1.51 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 11 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 129.5% in Q2 2022, against a decline of 0.1% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters 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 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.44 Bn |
| Mar 31, 2026 | 1.51 Bn |
| Dec 31, 2025 | 1.44 Bn |
| Sep 30, 2025 | 1.39 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 |
| Sep 30, 2021 | 564.00 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();