S&P Global (SPGI) Total Current Liabilities (2009 - 2026)
S&P Global (SPGI) recorded Total Current Liabilities of $9.13 billion in Q2 2026, up 52.5% from $5.98 billion a year earlier but down 2.2% from the prior quarter.
Powered by 
Analysis
S&P Global (SPGI) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global reported Total Current Liabilities of $7.64 billion, up 19.5% from FY2024.
- Annual Total Current Liabilities has increased for seven straight years, with a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $6.39 billion in FY2024 (+4.4%), $6.13 billion in FY2023 (+2.1%), $6 billion in FY2022 (+57.2%) and $3.82 billion in FY2021 (+6.4%).
- Quarterly Total Current Liabilities has ranged from $3.39 billion in Q3 2021 to $9.34 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for eight consecutive quarters, with growth averaging 19.3% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 66.1% in Q1 2022, against a decline of 8.8% in Q2 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $9.34 billion (Q1 2026), $7.64 billion (Q4 2025) and $5.8 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 136.14 Bn | 125.99 Bn | 2.64 Bn | 8.72 Bn |
| 2 | Moodys | 87.37 Bn | 80.29 Bn | 1.50 Bn | 3.28 Bn |
| 3 | Msci | 46.53 Bn | 45.01 Bn | 739.80 Mn | 1.57 Bn |
| 4 | Verisk Analytics | 25.76 Bn | 20.40 Bn | 572.90 Mn | 1.12 Bn |
| 5 | Equifax | 21.57 Bn | 20.84 Bn | 940.10 Mn | 1.46 Bn |
| 6 | TransUnion | 15.42 Bn | 12.11 Bn | - | 1.08 Bn |
| 7 | Factset Research Systems | 11.51 Bn | 10.36 Bn | 308.40 Mn | 1.09 Bn |
| 8 | Morningstar | 9.02 Bn | 6.91 Bn | 431.40 Mn | 1.02 Bn |
| 9 | Mastercard | 571.76 Bn | 531.85 Bn | - | 24.20 Bn |
| 10 | Cme | 109.34 Bn | 97.67 Bn | - | 156.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.72 Bn |
| Jun 30, 2026 | 9.13 Bn |
| Mar 31, 2026 | 9.34 Bn |
| Dec 31, 2025 | 7.64 Bn |
| Sep 30, 2025 | 5.80 Bn |
| Jun 30, 2025 | 5.98 Bn |
| Mar 31, 2025 | 5.92 Bn |
| Dec 31, 2024 | 6.39 Bn |
| Sep 30, 2024 | 5.51 Bn |
| Jun 30, 2024 | 5.50 Bn |
| Mar 31, 2024 | 5.88 Bn |
| Dec 31, 2023 | 6.13 Bn |
| Sep 30, 2023 | 5.22 Bn |
| Jun 30, 2023 | 6.03 Bn |
| Mar 31, 2023 | 6.39 Bn |
| Dec 31, 2022 | 6.00 Bn |
| Sep 30, 2022 | 5.05 Bn |
| Jun 30, 2022 | 4.96 Bn |
| Mar 31, 2022 | 5.65 Bn |
| Dec 31, 2021 | 3.82 Bn |
API Access
S&P Global Total Current 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=total-current-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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=total-current-liabilities&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();