S&P Global (SPGI) Times Interest Earned (2009 - 2026)
S&P Global's Times Interest Earned came in at 20.83 for Q2 2026, up 3.4% from 20.14 a year earlier but down 0.1% from the prior quarter.
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Analysis
S&P Global (SPGI) Times Interest Earned (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported Times Interest Earned of 22.67, up 14.7% year-over-year; for FY2025, it was 22.57, up 20.1% from FY2024.
- Going back by year, Times Interest Earned was 18.79 in FY2024 (+56.1%), 12.04 in FY2023 (-26.0%), 16.26 in FY2022 (-54.2%) and 35.47 in FY2021 (+38.3%).
- The five-year range for quarterly Times Interest Earned is 8.33 (Q4 2022) to 33.19 (Q1 2022).
- Year-over-year, Times Interest Earned has increased for 12 consecutive quarters, with growth averaging 26.9% over the last eight quarters.
- The fastest year-over-year change in Times Interest Earned over five years came in Q2 2024 (growth of 82.2%), and the weakest in Q1 2023 (a decline of 59.5%).
- Business Quant data shows SPGI's Times Interest Earned at 20.85 (Q1 2026), 31.00 (Q4 2025) and 21.20 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 20.83 |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | - |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 6.87 |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 6.89 |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 5.25 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.92 |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 12.02 |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 25.63 |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 25.39 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.83 |
| Mar 31, 2026 | 20.85 |
| Dec 31, 2025 | 31.00 |
| Sep 30, 2025 | 21.20 |
| Jun 30, 2025 | 20.14 |
| Mar 31, 2025 | 20.23 |
| Dec 31, 2024 | 18.70 |
| Sep 30, 2024 | 19.92 |
| Jun 30, 2024 | 18.86 |
| Mar 31, 2024 | 17.76 |
| Dec 31, 2023 | 11.71 |
| Sep 30, 2023 | 12.79 |
| Jun 30, 2023 | 10.35 |
| Mar 31, 2023 | 13.46 |
| Dec 31, 2022 | 8.33 |
| Sep 30, 2022 | 12.01 |
| Jun 30, 2022 | 16.47 |
| Mar 31, 2022 | 33.19 |
| Mar 31, 2018 | 20.91 |
| Dec 31, 2017 | 16.08 |
API Access
S&P Global Times Interest Earned 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=times-interest-earned&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();