S&P Global (SPGI) Amortizatization of Intangibles (2009 - 2026)
S&P Global (SPGI) posted Amortizatization of Intangibles of $275 million for Q2 2026, up 1.9% from $270 million a year earlier but down 0.4% from the prior quarter.
Powered by 
Analysis
S&P Global (SPGI) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Amortizatization of Intangibles at S&P Global was $1.08 billion, unchanged year-over-year; for FY2025, it came in at $1.07 billion, down 0.7% from FY2024.
- Annual Amortizatization of Intangibles shows a five-year compound annual growth rate of 54.1% (FY2020 to FY2025).
- In prior years, S&P Global's Amortizatization of 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%).
- Quarterly Amortizatization of Intangibles has run from a low of $21 million in Q3 2021 to a high of $276 million in Q1 2026 over five years.
- On a year-over-year basis, Amortizatization of Intangibles increased in six of the last eight quarters, with growth averaging 1.6%.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was Q1 2022, with growth of 258.1%; the weakest was Q3 2021, with a decline of 34.4%.
- According to Business Quant data, Amortizatization of Intangibles for the three prior quarters was $276 million (Q1 2026), $266 million (Q4 2025) and $266 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 275.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | - |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 43.80 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 14.30 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | - |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | - |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | 56.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 275.00 Mn |
| Mar 31, 2026 | 276.00 Mn |
| Dec 31, 2025 | 266.00 Mn |
| Sep 30, 2025 | 266.00 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 |
| Sep 30, 2021 | 21.00 Mn |
API Access
S&P Global Amortizatization of 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=amortizatization-of-intangibles&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-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=amortizatization-of-intangibles&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();