SS&C Technologies Holdings (SSNC) Other Accumulated Expenses (2015 - 2026)
SS&C Technologies Holdings (SSNC) recorded Other Accumulated Expenses of $278.2 million in Q3 2026, up 0.1% from $278 million a year earlier but down 4.1% from the prior quarter.
SS&C Technologies Holdings (SSNC) Other Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2025, SS&C Technologies Holdings reported Other Accumulated Expenses of $303.4 million, up 21.5% from FY2024.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Across earlier years, Other Accumulated Expenses came in at $249.7 million in FY2024 (+7.5%), $232.3 million in FY2023 (-34.8%), $356.1 million in FY2022 (+14.8%) and $310.1 million in FY2021 (+5.8%).
- Quarterly Other Accumulated Expenses has ranged from $226.5 million in Q1 2024 to $364 million in Q1 2022 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses has increased for eight consecutive quarters, with growth averaging 9.2% over the last eight quarters.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 21.5% in Q4 2025, against a decline of 34.8% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $290.1 million (Q2 2026), $271.1 million (Q1 2026) and $303.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn |
| 10 | SS&C Technologies Holdings | 18.47 Bn | 16.77 Bn | 818.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 290.10 Mn |
| Mar 31, 2026 | 271.10 Mn |
| Dec 31, 2025 | 303.40 Mn |
| Sep 30, 2025 | 278.00 Mn |
| Jun 30, 2025 | 276.20 Mn |
| Mar 31, 2025 | 248.90 Mn |
| Dec 31, 2024 | 249.70 Mn |
| Sep 30, 2024 | 275.90 Mn |
| Jun 30, 2024 | 229.70 Mn |
| Mar 31, 2024 | 226.50 Mn |
| Dec 31, 2023 | 232.30 Mn |
| Sep 30, 2023 | 282.20 Mn |
| Jun 30, 2023 | 287.00 Mn |
| Mar 31, 2023 | 331.40 Mn |
| Dec 31, 2022 | 356.10 Mn |
| Sep 30, 2022 | 342.30 Mn |
| Jun 30, 2022 | 347.40 Mn |
| Mar 31, 2022 | 364.00 Mn |
| Dec 31, 2021 | 310.10 Mn |
| Sep 30, 2021 | 340.70 Mn |
SS&C Technologies Holdings Other 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=other-accumulated-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-accumulated-expenses&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();