SS&C Technologies Holdings (SSNC) Operating Expenses (2010 - 2026)
SS&C Technologies Holdings' Operating Expenses was $404.5 million in Q3 2026, up 5.9% from $382.1 million a year earlier and up 0.8% from the prior quarter.
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Analysis
SS&C Technologies Holdings (SSNC) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, SS&C Technologies Holdings' Operating Expenses was $1.63 billion through Sep 30, 2026, up 4.5% year-over-year; for FY2025, it came in at $1.58 billion, up 4.3% from FY2024.
- Operating Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 7.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $1.52 billion in FY2024 (+5.4%), $1.44 billion in FY2023 (+5.1%), $1.37 billion in FY2022 (+17.6%) and $1.17 billion in FY2021 (+5.3%).
- Quarterly Operating Expenses has moved between $311 million (Q4 2021) and $421.2 million (Q4 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 13 straight quarters, with growth averaging 4.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q2 2022 (growth of 34.2%); the worst was Q2 2023 (a decline of 6.8%).
- Per Business Quant data, SSNC's Operating Expenses in the three quarters before Q3 2026 was $401.2 million (Q2 2026), $403.6 million (Q1 2026) and $421.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 375.64 Bn | 340.46 Bn | 1.93 Bn | 845.28 Mn |
| 2 | Oracle | 339.73 Bn | 211.86 Bn | - | 12.62 Bn |
| 3 | Sap Se | 282.76 Bn | 210.15 Bn | 8.64 Bn | 8.45 Bn |
| 4 | Salesforce | 183.38 Bn | 139.25 Bn | 8.70 Bn | 6.37 Bn |
| 5 | Automatic Data Processing | 123.26 Bn | 110.05 Bn | 2.53 Bn | 4.18 Bn |
| 6 | ServiceNow | 108.59 Bn | 87.85 Bn | 2.90 Bn | 2.51 Bn |
| 7 | Intuit | 98.02 Bn | 77.37 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 76.35 Bn | 75.44 Bn | - | - |
| 9 | Thomson Reuters | 52.32 Bn | 48.29 Bn | - | 1.18 Bn |
| 10 | SS&C Technologies Holdings | 18.98 Bn | 17.27 Bn | 818.30 Mn | 401.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 401.20 Mn |
| Mar 31, 2026 | 403.60 Mn |
| Dec 31, 2025 | 421.20 Mn |
| Sep 30, 2025 | 382.10 Mn |
| Jun 30, 2025 | 392.40 Mn |
| Mar 31, 2025 | 389.20 Mn |
| Dec 31, 2024 | 396.00 Mn |
| Sep 30, 2024 | 379.10 Mn |
| Jun 30, 2024 | 370.70 Mn |
| Mar 31, 2024 | 374.30 Mn |
| Dec 31, 2023 | 385.10 Mn |
| Sep 30, 2023 | 348.00 Mn |
| Jun 30, 2023 | 352.90 Mn |
| Mar 31, 2023 | 356.90 Mn |
| Dec 31, 2022 | 346.10 Mn |
| Sep 30, 2022 | 319.60 Mn |
| Jun 30, 2022 | 378.70 Mn |
| Mar 31, 2022 | 328.00 Mn |
| Dec 31, 2021 | 311.00 Mn |
| Sep 30, 2021 | 283.90 Mn |
API Access
SS&C Technologies Holdings Operating Expenses 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=operating-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();