SS&C Technologies Holdings (SSNC) Return on Sales [ROS] (2010 - 2026)
SS&C Technologies Holdings' Return on Sales [ROS] was 24.60% in Q2 2026, up 2.18 percentage points from 22.42% a year earlier and up 0.42 percentage points from the prior quarter.
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Analysis
SS&C Technologies Holdings (SSNC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, SS&C Technologies Holdings' Return on Sales [ROS] was 23.61% through Jun 30, 2026, up 0.69 percentage points year-over-year; for FY2025, it came in at 22.91%, up 0.06 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +1.79 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 22.84% in FY2024 (+0.87 pp), 21.97% in FY2023 (+0.34 pp), 21.63% in FY2022 (-2.96 pp) and 24.60% in FY2021 (+3.48 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] since Q4 2021.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of +0.31 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2021 (a gain of 4.60 percentage points); the worst was Q2 2022 (a drop of 6.37 percentage points).
- Per Business Quant data, SSNC's Return on Sales [ROS] in the three quarters before Q2 2026 was 24.18% (Q1 2026), 22.29% (Q4 2025) and 23.32% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 46.89% |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 34.78% |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 28.53% |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 20.55% |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -30.06% |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 9.38% |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 16,670.89% |
| 10 | SS&C Technologies Holdings | 18.47 Bn | 16.77 Bn | 818.30 Mn | 24.60% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.60% |
| Mar 31, 2026 | 24.18% |
| Dec 31, 2025 | 22.29% |
| Sep 30, 2025 | 23.32% |
| Jun 30, 2025 | 22.42% |
| Mar 31, 2025 | 23.64% |
| Dec 31, 2024 | 23.40% |
| Sep 30, 2024 | 22.18% |
| Jun 30, 2024 | 22.57% |
| Mar 31, 2024 | 23.20% |
| Dec 31, 2023 | 23.68% |
| Sep 30, 2023 | 22.43% |
| Jun 30, 2023 | 21.15% |
| Mar 31, 2023 | 20.55% |
| Dec 31, 2022 | 22.51% |
| Sep 30, 2022 | 23.03% |
| Jun 30, 2022 | 18.48% |
| Mar 31, 2022 | 22.53% |
| Dec 31, 2021 | 24.74% |
| Sep 30, 2021 | 26.90% |
API Access
SS&C Technologies Holdings Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SSNC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SSNC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();