SS&C Technologies Holdings (SSNC) Accumulated Expenses (2010 - 2026)
SS&C Technologies Holdings (SSNC) reported Accumulated Expenses of $3 million for Q4 2023, down 63.0% from $8.1 million a year earlier and down 94.1% from the prior quarter.
SS&C Technologies Holdings (SSNC) Accumulated Expenses (2010 - 2026) Analysis & Trends
Dating back to Q4 2010, SS&C Technologies Holdings' Accumulated Expenses record includes 34 quarters.
- By year, Accumulated Expenses came in at $8.1 million in FY2022 (-81.3%) and $43.4 million in FY2021.
- The Q4 2023 figure ranks as the lowest quarterly Accumulated Expenses in data going back to Q4 2010.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 480.73 Bn | 449.68 Bn | 1.64 Bn |
| 2 | Oracle | 399.91 Bn | 272.04 Bn | - |
| 3 | Sap Se | 262.30 Bn | 190.08 Bn | 8.40 Bn |
| 4 | Salesforce | 202.26 Bn | 158.13 Bn | 8.70 Bn |
| 5 | ServiceNow | 153.84 Bn | 132.30 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 114.84 Bn | 96.97 Bn | 2.51 Bn |
| 7 | Intuit | 91.04 Bn | 70.38 Bn | 3.44 Bn |
| 8 | Relx | 70.51 Bn | 69.60 Bn | - |
| 9 | Strategy | 53.24 Bn | 46.23 Bn | 81.55 Mn |
| 10 | SS&C Technologies Holdings | 20.02 Bn | 18.32 Bn | 818.30 Mn |
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 |
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_KEY
import 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();