S&P Global (SPGI) Change in Receivables (2009 - 2026)
S&P Global's Change in Receivables came in at -$39 million for Q2 2026, compared with -$121 million a year earlier.
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Analysis
S&P Global (SPGI) Change in Receivables (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported Change in Receivables of $591 million, up 106.6% year-over-year; for FY2025, it was $600 million, up 659.5% from FY2024.
- Going back by year, Change in Receivables was $79 million in FY2024 (-72.9%), $291 million in FY2023, -$36 million in FY2022 and $144 million in FY2021.
- The five-year range for quarterly Change in Receivables is -$291 million (Q2 2024) to $569 million (Q4 2025).
- Year-over-year, Change in Receivables increased in three of the last four quarters, with growth averaging 27.4%.
- The fastest year-over-year change in Change in Receivables over five years came in Q3 2022 (growth of 209.7%), and the weakest in Q3 2023 (a decline of 79.2%).
- Business Quant data shows SPGI's Change in Receivables at $131 million (Q1 2026), $569 million (Q4 2025) and -$70 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 130.92 Bn | 121.51 Bn | 2.98 Bn | -39.00 Mn |
| 2 | Moodys | 83.50 Bn | 75.78 Bn | 1.67 Bn | -127.00 Mn |
| 3 | Msci | 43.53 Bn | 42.01 Bn | 739.80 Mn | -27.10 Mn |
| 4 | Verisk Analytics | 25.14 Bn | 19.78 Bn | 572.90 Mn | -151.40 Mn |
| 5 | Equifax | 20.60 Bn | 19.88 Bn | 940.10 Mn | 500,000.00 |
| 6 | TransUnion | 15.19 Bn | 12.02 Bn | - | 4.90 Mn |
| 7 | Factset Research Systems | 11.67 Bn | 10.52 Bn | 308.40 Mn | 10.19 Mn |
| 8 | Morningstar | 8.10 Bn | 6.00 Bn | 423.90 Mn | -18.60 Mn |
| 9 | Mastercard | 548.82 Bn | 508.75 Bn | - | 338.00 Mn |
| 10 | Cme | 106.61 Bn | 94.70 Bn | - | -182.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.00 Mn |
| Mar 31, 2026 | 131.00 Mn |
| Dec 31, 2025 | 569.00 Mn |
| Sep 30, 2025 | -70.00 Mn |
| Jun 30, 2025 | -121.00 Mn |
| Mar 31, 2025 | 222.00 Mn |
| Dec 31, 2024 | 267.00 Mn |
| Sep 30, 2024 | -82.00 Mn |
| Jun 30, 2024 | -291.00 Mn |
| Mar 31, 2024 | 185.00 Mn |
| Dec 31, 2023 | 227.00 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 67.00 Mn |
| Mar 31, 2023 | -23.00 Mn |
| Dec 31, 2022 | 255.00 Mn |
| Sep 30, 2022 | 96.00 Mn |
| Jun 30, 2022 | -200.00 Mn |
| Mar 31, 2022 | -187.00 Mn |
| Dec 31, 2021 | 266.00 Mn |
| Sep 30, 2021 | 31.00 Mn |
API Access
S&P Global Change in Receivables 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=change-in-receivables&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();