S&P Global (SPGI) Selling, General & Administrative (2009 - 2026)
S&P Global (SPGI) posted Selling, General & Administrative of $873 million for Q2 2026, up 8.7% from $803 million a year earlier and up 8.9% from the prior quarter.
S&P Global (SPGI) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at S&P Global was $3.53 billion, up 6.6% year-over-year; for FY2025, it was $3.42 billion, up 6.9% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 17.3% (FY2020 to FY2025).
- In prior years, S&P Global's Selling, General & Administrative was $3.2 billion in FY2024 (+1.2%), $3.16 billion in FY2023 (-7.0%), $3.4 billion in FY2022 (+96.4%) and $1.73 billion in FY2021 (+12.2%).
- Quarterly Selling, General & Administrative has run from a low of $423 million in Q3 2021 to a high of $1.05 billion in Q4 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2022, with growth of 166.1%; the weakest was Q1 2023, with a decline of 26.4%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $802 million (Q1 2026), $1.05 billion (Q4 2025) and $805 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 3.08 Bn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 873.00 Mn |
| Mar 31, 2026 | 802.00 Mn |
| Dec 31, 2025 | 1.05 Bn |
| Sep 30, 2025 | 805.00 Mn |
| Jun 30, 2025 | 803.00 Mn |
| Mar 31, 2025 | 764.00 Mn |
| Dec 31, 2024 | 926.00 Mn |
| Sep 30, 2024 | 815.00 Mn |
| Jun 30, 2024 | 741.00 Mn |
| Mar 31, 2024 | 714.00 Mn |
| Dec 31, 2023 | 942.00 Mn |
| Sep 30, 2023 | 741.00 Mn |
| Jun 30, 2023 | 771.00 Mn |
| Mar 31, 2023 | 705.00 Mn |
| Dec 31, 2022 | 945.00 Mn |
| Sep 30, 2022 | 725.00 Mn |
| Jun 30, 2022 | 768.00 Mn |
| Mar 31, 2022 | 958.00 Mn |
| Dec 31, 2021 | 567.00 Mn |
| Sep 30, 2021 | 423.00 Mn |
S&P Global Selling, General & Administrative 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=selling-general-and-administrative&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();