S&P Global (SPGI) Treasury Shares (2009 - 2025)
S&P Global (SPGI) reported Treasury Shares of $38.31 billion for Q2 2026, up 16.0% from $33.02 billion a year earlier and up 1.3% from the prior quarter.
S&P Global (SPGI) Treasury Shares (2009 - 2025) Analysis & Trends
At the end of FY2025, S&P Global posted Treasury Shares of $36.37 billion, up 14.8% from FY2024.
- Treasury Shares has increased for 13 consecutive years, with a five-year compound annual growth rate of 22.0% (FY2020 to FY2025).
- By year, Treasury Shares came in at $31.67 billion in FY2024 (+11.5%), $28.41 billion in FY2023 (+12.1%), $25.35 billion in FY2022 (+88.2%) and $13.47 billion in FY2021 (+0.1%).
- The Q2 2026 figure ranks as the highest quarterly Treasury Shares in data going back to Q1 2009.
- Year over year, Treasury Shares has now increased in each of the last 54 quarters, with growth averaging 13.5% over the last eight quarters.
- The year-over-year growth in Treasury Shares has ranged between 0.1% (Q4 2021) and 88.2% (Q4 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.82 billion (Q1 2026), $36.37 billion (Q4 2025) and $34.12 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Treasury Shares (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 38.31 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 169.72 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 61.80 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 413.87 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 71.10 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.40 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 7.45 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 17.57 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 536.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 109.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 93.00 Mn |
| Dec 31, 2022 | 86.00 Mn |
| Dec 31, 2021 | 53.00 Mn |
| Dec 31, 2020 | 53.00 Mn |
| Dec 31, 2019 | 50.00 Mn |
| Dec 31, 2018 | 45.00 Mn |
| Dec 31, 2017 | 158.00 Mn |
| Dec 31, 2016 | 153.00 Mn |
| Dec 31, 2015 | 146.00 Mn |
| Dec 31, 2014 | 140.00 Mn |
| Dec 31, 2013 | 141.00 Mn |
| Dec 31, 2012 | 133.00 Mn |
| Dec 31, 2011 | 136.00 Mn |
| Dec 31, 2010 | 104.00 Mn |
| Dec 31, 2009 | 96.37 Mn |
S&P Global Treasury Shares 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=treasury-shares&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "treasury-shares", "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=treasury-shares&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();