SS&C Technologies Holdings (SSNC) Shares Outstanding (2010 - 2026)
SS&C Technologies Holdings' Weighted Average Shares Outstanding came in at 238.1 million for Q3 2026, down 2.3% from 243.8 million a year earlier and unchanged from the prior quarter.
SS&C Technologies Holdings (SSNC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, SS&C Technologies Holdings' Weighted Average Shares Outstanding was 244.3 million, down 0.9% from FY2024.
- Weighted Average Shares Outstanding has declined in each of the last five years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Weighted Average Shares Outstanding was 246.4 million in FY2024 (-0.8%), 248.3 million in FY2023 (-2.2%), 254 million in FY2022 (-0.6%) and 255.6 million in FY2021 (-0.3%).
- The five-year range for quarterly Weighted Average Shares Outstanding is 238.1 million (Q2 2026) to 255.8 million (Q1 2022).
- Year-over-year, Weighted Average Shares Outstanding has declined for 22 consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 0.3% (Q4 2021) and 2.8% (Q2 2026) over the last five years.
- Business Quant data shows SSNC's Weighted Average Shares Outstanding at 238.1 million (Q2 2026), 241.5 million (Q1 2026) and 244.3 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 374.28 Bn | 339.11 Bn | 1.93 Bn | 2.41 Bn |
| 2 | Oracle | 340.78 Bn | 212.91 Bn | - | 2.97 Bn |
| 3 | Sap Se | 282.64 Bn | 210.04 Bn | 8.64 Bn | 1.17 Bn |
| 4 | Salesforce | 182.43 Bn | 138.31 Bn | 8.70 Bn | 820.00 Mn |
| 5 | Automatic Data Processing | 122.76 Bn | 109.55 Bn | 2.53 Bn | 402.30 Mn |
| 6 | ServiceNow | 108.10 Bn | 87.37 Bn | 2.90 Bn | 1.03 Bn |
| 7 | Intuit | 97.14 Bn | 76.49 Bn | 3.44 Bn | 276.00 Mn |
| 8 | Relx | 76.21 Bn | 75.30 Bn | - | 1.83 Bn |
| 9 | Thomson Reuters | 52.25 Bn | 48.22 Bn | - | 448.85 Mn |
| 10 | SS&C Technologies Holdings | 18.94 Bn | 17.23 Bn | 818.30 Mn | 238.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 238.10 Mn |
| Mar 31, 2026 | 241.50 Mn |
| Dec 31, 2025 | 244.30 Mn |
| Sep 30, 2025 | 243.80 Mn |
| Jun 30, 2025 | 244.90 Mn |
| Mar 31, 2025 | 245.80 Mn |
| Dec 31, 2024 | 246.40 Mn |
| Sep 30, 2024 | 246.10 Mn |
| Jun 30, 2024 | 246.20 Mn |
| Mar 31, 2024 | 247.00 Mn |
| Dec 31, 2023 | 248.30 Mn |
| Sep 30, 2023 | 247.50 Mn |
| Jun 30, 2023 | 248.50 Mn |
| Mar 31, 2023 | 250.40 Mn |
| Dec 31, 2022 | 254.00 Mn |
| Sep 30, 2022 | 253.90 Mn |
| Jun 30, 2022 | 254.90 Mn |
| Mar 31, 2022 | 255.80 Mn |
| Dec 31, 2021 | 255.60 Mn |
| Sep 30, 2021 | 254.70 Mn |
SS&C Technologies Holdings Shares Outstanding 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=shares-outstanding&ticker=SSNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SSNC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();