S&P Global (SPGI) Net Margin (2009 - 2026)
S&P Global (SPGI) recorded Net Margin of 29.35% in Q2 2026, up 0.80 percentage points from 28.55% a year earlier but down 4.09 percentage points from the prior quarter.
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Analysis
S&P Global (SPGI) Net Margin (2009 - 2026) Analysis & Trends
On a TTM basis, S&P Global's Net Margin came in at 30.53% as of Jun 30, 2026, up 3.23 percentage points year-over-year; for FY2025, it was 29.15%, up 2.04 percentage points from FY2024.
- Annual Net Margin has a five-year change of -2.28 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at 27.11% in FY2024 (+6.10 pp), 21.01% in FY2023 (-8.04 pp), 29.05% in FY2022 (-7.40 pp) and 36.45% in FY2021 (+5.02 pp).
- Quarterly Net Margin has ranged from 14.74% in Q4 2022 to 51.70% in Q1 2022 over the past five years.
- On a year-over-year basis, Net Margin has increased for 12 consecutive quarters, with an average year-over-year change of +2.84 percentage points over the last eight quarters.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 14.24 percentage points in Q1 2022, against a drop of 26.54 percentage points in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at 33.45% (Q1 2026), 28.96% (Q4 2025) and 30.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.73 Bn | 112.33 Bn | 2.98 Bn | 29.35% |
| 2 | Moodys | 79.69 Bn | 72.12 Bn | 1.67 Bn | 40.18% |
| 3 | Msci | 39.48 Bn | 37.82 Bn | 717.10 Mn | 39.45% |
| 4 | Verisk Analytics | 21.83 Bn | 16.47 Bn | 572.90 Mn | 28.35% |
| 5 | Equifax | 17.14 Bn | 16.54 Bn | 926.40 Mn | 10.82% |
| 6 | TransUnion | 12.68 Bn | 9.66 Bn | - | 10.95% |
| 7 | Factset Research Systems | 9.57 Bn | 8.33 Bn | 310.73 Mn | 20.34% |
| 8 | Morningstar | 7.19 Bn | 5.09 Bn | 423.90 Mn | 16.25% |
| 9 | Mastercard | 494.77 Bn | 454.69 Bn | - | 47.30% |
| 10 | Cme | 94.58 Bn | 94.58 Bn | - | 61.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.35% |
| Mar 31, 2026 | 33.45% |
| Dec 31, 2025 | 28.96% |
| Sep 30, 2025 | 30.25% |
| Jun 30, 2025 | 28.55% |
| Mar 31, 2025 | 28.86% |
| Dec 31, 2024 | 24.50% |
| Sep 30, 2024 | 27.16% |
| Jun 30, 2024 | 28.49% |
| Mar 31, 2024 | 28.39% |
| Dec 31, 2023 | 18.37% |
| Sep 30, 2023 | 24.06% |
| Jun 30, 2023 | 16.48% |
| Mar 31, 2023 | 25.16% |
| Dec 31, 2022 | 14.74% |
| Sep 30, 2022 | 21.25% |
| Jun 30, 2022 | 32.48% |
| Mar 31, 2022 | 51.70% |
| Dec 31, 2021 | 32.33% |
| Sep 30, 2021 | 38.19% |
API Access
S&P Global Net Margin 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=net-margin&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();