S&P Global (SPGI) Other Non-Current Assets (2009 - 2026)
S&P Global (SPGI) posted Other Non-Current Assets of $895 million for Q2 2026, up 6.3% from $842 million a year earlier and up 1.2% from the prior quarter.
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Analysis
S&P Global (SPGI) Other Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, S&P Global's Other Non-Current Assets came in at $864 million, up 46.2% from FY2024.
- Annual Other Non-Current Assets shows a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, S&P Global's Other Non-Current Assets was $591 million in FY2024 (+10.3%), $536 million in FY2023 (-4.6%), $562 million in FY2022 (+140.2%) and $234 million in FY2021 (-39.5%).
- The Q2 2026 figure stands as the highest quarterly Other Non-Current Assets since Q3 2023.
- On a year-over-year basis, Other Non-Current Assets has increased in each of the last three quarters, with growth averaging 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Assets in the past five years was Q4 2022, with growth of 140.2%; the weakest was Q4 2021, with a decline of 39.5%.
- According to Business Quant data, Other Non-Current Assets for the three prior quarters was $884 million (Q1 2026), $864 million (Q4 2025) and $837 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 895.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 1.09 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 55.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 455.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 359.60 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 408.80 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 69.06 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 28.70 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 12.22 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 2.52 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895.00 Mn |
| Mar 31, 2026 | 884.00 Mn |
| Dec 31, 2025 | 864.00 Mn |
| Sep 30, 2025 | 837.00 Mn |
| Jun 30, 2025 | 842.00 Mn |
| Mar 31, 2025 | 819.00 Mn |
| Dec 31, 2024 | 591.00 Mn |
| Sep 30, 2024 | 885.00 Mn |
| Jun 30, 2024 | 825.00 Mn |
| Mar 31, 2024 | 788.00 Mn |
| Dec 31, 2023 | 536.00 Mn |
| Sep 30, 2023 | 900.00 Mn |
| Jun 30, 2023 | 785.00 Mn |
| Mar 31, 2023 | 764.00 Mn |
| Dec 31, 2022 | 562.00 Mn |
| Sep 30, 2022 | 963.00 Mn |
| Jun 30, 2022 | 837.00 Mn |
| Mar 31, 2022 | 897.00 Mn |
| Dec 31, 2021 | 234.00 Mn |
| Sep 30, 2021 | 757.00 Mn |
API Access
S&P Global Other Non-Current Assets 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=other-non-current-assets&ticker=SPGI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();