S&P Global (SPGI) Cash & Equivalents (2009 - 2026)
S&P Global's Cash & Equivalents came in at $4.13 billion for Q2 2026, up 123.8% from $1.85 billion a year earlier and up 128.4% 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 Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q1 2022.
- Year-over-year, Cash & Equivalents has increased for three consecutive quarters, with growth averaging 21.0% 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 $1.81 billion (Q1 2026), $1.75 billion (Q4 2025) and $1.67 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 4.13 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.47 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 356.40 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 551.40 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 170.10 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 839.10 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 288.11 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 489.50 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 11.29 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.14 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.13 Bn |
| Mar 31, 2026 | 1.81 Bn |
| Dec 31, 2025 | 1.75 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 |
| Sep 30, 2021 | 5.90 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();