S&P Global (SPGI) Net Equity Issued and Repurchased (2009 - 2024)
S&P Global's Net Equity Issued and Repurchased came in at $3 million for Q2 2024, down 25.0% from $4 million a year earlier but up 200.0% from the prior quarter.
S&P Global (SPGI) Net Equity Issued and Repurchased (2009 - 2024) Analysis & Trends
Over the trailing twelve months to Jun 30, 2024, S&P Global reported Net Equity Issued and Repurchased of $10 million, up 11.1% year-over-year; for FY2023, it came in at $13 million, up 85.7% from FY2022.
- Net Equity Issued and Repurchased carries a five-year compound annual growth rate of -17.5% (FY2018 to FY2023).
- Going back by year, Net Equity Issued and Repurchased was $7 million in FY2022 (-46.2%), $13 million in FY2021 (-18.8%), $16 million in FY2020 (-60.0%) and $40 million in FY2019 (+17.6%).
- The five-year range for quarterly Net Equity Issued and Repurchased is -$1 million (Q3 2022) to $8 million (Q1 2020).
- Year-over-year, Net Equity Issued and Repurchased has declined for three consecutive quarters, with an average decline of 9.7% over the last six quarters.
- The fastest year-over-year change in Net Equity Issued and Repurchased over five years came in Q2 2023 (growth of 100.0%), and the weakest in Q4 2019 (a decline of 80.0%).
- Business Quant data shows SPGI's Net Equity Issued and Repurchased at $1 million (Q1 2024), $1 million (Q4 2023) and $5 million (Q3 2023) in the three quarters before Q2 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Equity Issued (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | - |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 11.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 12.50 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 5.60 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 6.40 Mn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | - |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 10.87 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 62.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 3.00 Mn |
| Mar 31, 2024 | 1.00 Mn |
| Dec 31, 2023 | 1.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 4.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | -1.00 Mn |
| Jun 30, 2022 | 2.00 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 3.00 Mn |
| Dec 31, 2020 | 2.00 Mn |
| Sep 30, 2020 | 2.00 Mn |
| Jun 30, 2020 | 4.00 Mn |
| Mar 31, 2020 | 8.00 Mn |
| Dec 31, 2019 | 2.00 Mn |
| Sep 30, 2019 | 7.00 Mn |
S&P Global Net Equity Issued and Repurchased 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-equity-issued-and-repurchased&ticker=SPGI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-equity-issued-and-repurchased", "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-equity-issued-and-repurchased&ticker=SPGI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();