S&P Global (SPGI) Amortization - Intangibles (2009 - 2026)
S&P Global's Amortization - Intangibles came in at $275 million for Q2 2026, up 1.9% from $270 million a year earlier but down 0.4% from the prior quarter.
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Analysis
S&P Global (SPGI) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, S&P Global reported Amortization - Intangibles of $1.08 billion, unchanged year-over-year; for FY2025, it was $1.07 billion, down 0.7% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 54.1% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $1.08 billion in FY2024 (+3.4%), $1.04 billion in FY2023 (+15.1%), $905 million in FY2022 (+842.7%) and $96 million in FY2021 (-22.0%).
- The five-year range for quarterly Amortization - Intangibles is $21 million (Q3 2021) to $276 million (Q1 2026).
- Year-over-year, Amortization - Intangibles increased in six of the last eight quarters, with growth averaging 1.6%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2022 (growth of 258.1%), and the weakest in Q3 2021 (a decline of 34.4%).
- Business Quant data shows SPGI's Amortization - Intangibles at $276 million (Q1 2026), $266 million (Q4 2025) and $266 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Msci | 235.55 Bn | 234.03 Bn | 739.80 Mn |
| 2 | S&P Global | 137.22 Bn | 132.42 Bn | 2.64 Bn |
| 3 | Moodys | 88.04 Bn | 81.11 Bn | 1.50 Bn |
| 4 | Verisk Analytics | 26.17 Bn | 22.36 Bn | 567.00 Mn |
| 5 | Equifax | 22.05 Bn | 21.44 Bn | 940.10 Mn |
| 6 | TransUnion | 15.64 Bn | 12.48 Bn | - |
| 7 | Factset Research Systems | 11.49 Bn | 10.35 Bn | 308.40 Mn |
| 8 | Morningstar | 9.15 Bn | 7.04 Bn | 431.40 Mn |
| 9 | Mastercard | 570.55 Bn | 530.63 Bn | - |
| 10 | Cme | 110.48 Bn | 98.81 Bn | 359.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 199.00 Mn |
| Jun 30, 2026 | 275.00 Mn |
| Mar 31, 2026 | 276.00 Mn |
| Dec 31, 2025 | 493.00 Mn |
| Sep 30, 2025 | 190.00 Mn |
| Jun 30, 2025 | 270.00 Mn |
| Mar 31, 2025 | 268.00 Mn |
| Dec 31, 2024 | 274.00 Mn |
| Sep 30, 2024 | 271.00 Mn |
| Jun 30, 2024 | 266.00 Mn |
| Mar 31, 2024 | 264.00 Mn |
| Dec 31, 2023 | 260.00 Mn |
| Sep 30, 2023 | 260.00 Mn |
| Jun 30, 2023 | 261.00 Mn |
| Mar 31, 2023 | 262.00 Mn |
| Dec 31, 2022 | 260.00 Mn |
| Sep 30, 2022 | 267.00 Mn |
| Jun 30, 2022 | 267.00 Mn |
| Mar 31, 2022 | 111.00 Mn |
| Dec 31, 2021 | 22.00 Mn |
API Access
S&P Global Amortization - Intangibles 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=amortization-intangibles&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();