S&P Global (SPGI) Cash & Equivalents (2009 - 2026)
S&P Global's Cash & Equivalents came in at $2.44 billion for Q3 2026, up 46.0% from $1.67 billion a year earlier but down 41.0% from the prior quarter.
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Analysis
S&P Global (SPGI) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global's Cash & Equivalents was $1.75 billion, up 2.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -15.7% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $1.7 billion in FY2024 (+30.8%), $1.3 billion in FY2023 (unchanged), $1.3 billion in FY2022 (-80.0%) and $6.5 billion in FY2021 (+58.2%).
- The five-year range for quarterly Cash & Equivalents is $1.3 billion (Q4 2022) to $6.5 billion (Q4 2021).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 26.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2026 (growth of 123.8%), and the weakest in Q4 2022 (a decline of 80.0%).
- Business Quant data shows SPGI's Cash & Equivalents at $4.13 billion (Q2 2026), $1.81 billion (Q1 2026) and $1.75 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 261.00 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 2.44 Bn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 1.51 Bn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 556.80 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 192.90 Mn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 883.10 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 233.34 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 496.70 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 10.15 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 2.20 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.44 Bn |
| Jun 30, 2026 | 4.13 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.71 Bn |
| Sep 30, 2025 | 1.67 Bn |
| Jun 30, 2025 | 1.85 Bn |
| Mar 31, 2025 | 1.47 Bn |
| Dec 31, 2024 | 1.70 Bn |
| Sep 30, 2024 | 1.70 Bn |
| Jun 30, 2024 | 2.04 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Dec 31, 2023 | 1.30 Bn |
| Sep 30, 2023 | 1.65 Bn |
| Jun 30, 2023 | 1.56 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.30 Bn |
| Sep 30, 2022 | 1.39 Bn |
| Jun 30, 2022 | 3.57 Bn |
| Mar 31, 2022 | 4.41 Bn |
| Dec 31, 2021 | 6.50 Bn |
API Access
S&P Global Cash & Equivalents 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=cash-and-equivalents&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();