SS&C Technologies Holdings (SSNC) Selling, General & Administrative (2010 - 2026)
SS&C Technologies Holdings (SSNC) reported Selling, General & Administrative of $108.4 million for Q2 2026, down 3.1% from $111.9 million a year earlier and down 7.6% from the prior quarter.
SS&C Technologies Holdings (SSNC) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, SS&C Technologies Holdings' Selling, General & Administrative came in at $458.4 million, up 7.6% year-over-year; for FY2025, it was $452.4 million, up 8.2% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $418.2 million in FY2024 (unchanged), $418.2 million in FY2023 (-1.6%), $425 million in FY2022 (+18.7%) and $358 million in FY2021 (+1.6%).
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q1 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 3.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 44.7%); the low point was Q2 2023 (a decline of 20.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $117.3 million (Q1 2026), $113.9 million (Q4 2025) and $118.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - | 376.00 Mn |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn | 39.92 Mn |
| 10 | SS&C Technologies Holdings | 20.02 Bn | 18.32 Bn | 818.30 Mn | 108.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.40 Mn |
| Mar 31, 2026 | 117.30 Mn |
| Dec 31, 2025 | 113.90 Mn |
| Sep 30, 2025 | 118.80 Mn |
| Jun 30, 2025 | 111.90 Mn |
| Mar 31, 2025 | 107.80 Mn |
| Dec 31, 2024 | 102.60 Mn |
| Sep 30, 2024 | 103.70 Mn |
| Jun 30, 2024 | 99.40 Mn |
| Mar 31, 2024 | 112.50 Mn |
| Dec 31, 2023 | 127.50 Mn |
| Sep 30, 2023 | 95.60 Mn |
| Jun 30, 2023 | 96.20 Mn |
| Mar 31, 2023 | 98.90 Mn |
| Dec 31, 2022 | 101.60 Mn |
| Sep 30, 2022 | 91.10 Mn |
| Jun 30, 2022 | 121.00 Mn |
| Mar 31, 2022 | 111.30 Mn |
| Dec 31, 2021 | 94.50 Mn |
| Sep 30, 2021 | 89.80 Mn |
SS&C Technologies Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=SSNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();