S&P Global (SPGI) Change in Other Operating Liabilities (2009 - 2026)
S&P Global's Change in Other Operating Liabilities was -$137 million in Q2 2026, compared with -$126 million a year earlier.
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Analysis
S&P Global (SPGI) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, S&P Global's Change in Other Operating Liabilities was $7 million through Jun 30, 2026, down 91.8% year-over-year; for FY2025, it came in at $246 million.
- Change in Other Operating Liabilities shows a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- In earlier years, Change in Other Operating Liabilities was -$196 million in FY2024, $75 million in FY2023, -$129 million in FY2022 and $153 million in FY2021 (-25.4%).
- Quarterly Change in Other Operating Liabilities has moved between -$339 million (Q1 2022) and $490 million (Q4 2025) over five years.
- Per Business Quant data, SPGI's Change in Other Operating Liabilities in the three quarters before Q2 2026 was -$105 million (Q1 2026), $490 million (Q4 2025) and -$241 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | -110.80 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | -181.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | -188.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | -64.20 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | - |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 26.40 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | -12.40 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | -25.60 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | -1.01 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | -136.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -181.00 Mn |
| Jun 30, 2026 | -137.00 Mn |
| Mar 31, 2026 | -105.00 Mn |
| Dec 31, 2025 | 488.00 Mn |
| Sep 30, 2025 | -239.00 Mn |
| Jun 30, 2025 | -126.00 Mn |
| Mar 31, 2025 | 123.00 Mn |
| Dec 31, 2024 | 412.00 Mn |
| Sep 30, 2024 | -324.00 Mn |
| Jun 30, 2024 | -174.00 Mn |
| Mar 31, 2024 | -110.00 Mn |
| Dec 31, 2023 | 459.00 Mn |
| Sep 30, 2023 | -118.00 Mn |
| Jun 30, 2023 | -169.00 Mn |
| Mar 31, 2023 | -97.00 Mn |
| Dec 31, 2022 | 144.00 Mn |
| Sep 30, 2022 | 142.00 Mn |
| Jun 30, 2022 | -76.00 Mn |
| Mar 31, 2022 | -339.00 Mn |
| Dec 31, 2021 | 347.00 Mn |
API Access
S&P Global Change in Other Operating Liabilities 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-other-operating-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-liabilities", "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-other-operating-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();