S&P Global (SPGI) Operating Leases (2019 - 2026)
S&P Global (SPGI) recorded Operating Leases of $452 million in Q2 2026, down 11.7% from $512 million a year earlier and down 1.3% from the prior quarter.
S&P Global (SPGI) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, S&P Global reported Operating Leases of $494 million, down 7.7% from FY2024.
- Annual Operating Leases has declined for three straight years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $535 million in FY2024 (-1.1%), $541 million in FY2023 (-6.2%), $577 million in FY2022 (+17.3%) and $492 million in FY2021 (-9.6%).
- The Q2 2026 figure is the lowest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has declined for 14 consecutive quarters, with an average decline of 5.7% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 31.8% in Q1 2022, against a decline of 18.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $458 million (Q1 2026), $494 million (Q4 2025) and $481 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | S&P Global | 115.73 Bn | 111.34 Bn | 2.98 Bn |
| 2 | Moodys | 78.77 Bn | 71.20 Bn | 1.67 Bn |
| 3 | Msci | 39.23 Bn | 37.58 Bn | 717.10 Mn |
| 4 | Verisk Analytics | 21.59 Bn | 16.23 Bn | 572.90 Mn |
| 5 | Equifax | 16.56 Bn | 15.96 Bn | 926.40 Mn |
| 6 | TransUnion | 12.32 Bn | 9.30 Bn | - |
| 7 | Factset Research Systems | 9.30 Bn | 8.06 Bn | 310.73 Mn |
| 8 | Morningstar | 6.99 Bn | 4.89 Bn | 423.90 Mn |
| 9 | Mastercard | 490.78 Bn | 450.70 Bn | - |
| 10 | Cme | 94.57 Bn | 94.57 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 452.00 Mn |
| Mar 31, 2026 | 458.00 Mn |
| Dec 31, 2025 | 494.00 Mn |
| Sep 30, 2025 | 481.00 Mn |
| Jun 30, 2025 | 512.00 Mn |
| Mar 31, 2025 | 522.00 Mn |
| Dec 31, 2024 | 535.00 Mn |
| Sep 30, 2024 | 527.00 Mn |
| Jun 30, 2024 | 515.00 Mn |
| Mar 31, 2024 | 524.00 Mn |
| Dec 31, 2023 | 541.00 Mn |
| Sep 30, 2023 | 543.00 Mn |
| Jun 30, 2023 | 547.00 Mn |
| Mar 31, 2023 | 566.00 Mn |
| Dec 31, 2022 | 577.00 Mn |
| Sep 30, 2022 | 592.00 Mn |
| Jun 30, 2022 | 632.00 Mn |
| Mar 31, 2022 | 692.00 Mn |
| Dec 31, 2021 | 492.00 Mn |
| Sep 30, 2021 | 508.00 Mn |
S&P Global Operating Leases 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=operating-leases&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();