SS&C Technologies Holdings (SSNC) Accumulated Expenses (2010 - 2026)
SS&C Technologies Holdings (SSNC) reported Accumulated Expenses of $16.7 million for Q3 2026, up 2.5% from $16.3 million a year earlier but down 48.0% from the prior quarter.
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Analysis
SS&C Technologies Holdings (SSNC) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, SS&C Technologies Holdings posted Accumulated Expenses of $31.6 million, unchanged from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 2.8% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $31.6 million in FY2024 (+7.5%), $29.4 million in FY2023 (+3.5%), $28.4 million in FY2022 (+3.3%) and $27.5 million in FY2021 (unchanged).
- Five-year quarterly Accumulated Expenses spans a low of $200,000 in Q1 2023 and a high of $56 million in Q3 2023.
- Year over year, Accumulated Expenses has now increased in each of the last three quarters, with growth averaging 58.1% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q1 2025 (growth of 482.1%); the low point was Q1 2023 (a decline of 81.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $32.1 million (Q2 2026), $16.4 million (Q1 2026) and $31.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 372.80 Bn | 337.62 Bn | 1.93 Bn |
| 2 | Oracle | 338.67 Bn | 210.80 Bn | - |
| 3 | Sap Se | 282.71 Bn | 210.11 Bn | 8.64 Bn |
| 4 | Salesforce | 182.67 Bn | 138.54 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.77 Bn | 109.57 Bn | 2.53 Bn |
| 6 | ServiceNow | 107.97 Bn | 87.23 Bn | 2.90 Bn |
| 7 | Intuit | 97.20 Bn | 76.55 Bn | 3.44 Bn |
| 8 | Relx | 76.18 Bn | 75.28 Bn | - |
| 9 | Thomson Reuters | 52.18 Bn | 48.14 Bn | - |
| 10 | SS&C Technologies Holdings | 18.92 Bn | 17.22 Bn | 818.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.10 Mn |
| Mar 31, 2026 | 16.40 Mn |
| Dec 31, 2025 | 31.60 Mn |
| Sep 30, 2025 | 16.30 Mn |
| Jun 30, 2025 | 31.60 Mn |
| Mar 31, 2025 | 16.30 Mn |
| Dec 31, 2024 | 31.60 Mn |
| Sep 30, 2024 | 19.70 Mn |
| Jun 30, 2024 | 36.10 Mn |
| Mar 31, 2024 | 2.80 Mn |
| Dec 31, 2023 | 29.40 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | 27.50 Mn |
| Mar 31, 2023 | 200,000.00 |
| Dec 31, 2022 | 28.40 Mn |
| Jun 30, 2022 | 27.50 Mn |
| Mar 31, 2022 | 1.10 Mn |
| Dec 31, 2021 | 27.50 Mn |
| Jun 30, 2021 | 27.50 Mn |
| Dec 31, 2020 | 27.50 Mn |
API Access
SS&C Technologies Holdings Accumulated 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=accumulated-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();