Sei Investments (SEIC) Return on Sales [ROS] (2010 - 2026)
Sei Investments (SEIC) reported Return on Sales [ROS] of 30.71% for Q2 2026, up 4.15 percentage points from 26.56% a year earlier and up 0.25 percentage points from the prior quarter.
Sei Investments (SEIC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Sei Investments' Return on Sales [ROS] came in at 28.90%, up 1.92 percentage points year-over-year; for FY2025, it came in at 27.31%, up 1.34 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +0.83 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 25.96% in FY2024 (+3.85 pp), 22.11% in FY2023 (-1.78 pp), 23.89% in FY2022 (-4.95 pp) and 28.85% in FY2021 (+2.37 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q1 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last 12 quarters, with an average year-over-year change of +2.60 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 11.92 percentage points); the low point was Q3 2022 (a drop of 18.25 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 30.46% (Q1 2026), 26.59% (Q4 2025) and 27.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Sei Investments | 12.29 Bn | 10.65 Bn | - | 30.71% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.71% |
| Mar 31, 2026 | 30.46% |
| Dec 31, 2025 | 26.59% |
| Sep 30, 2025 | 27.65% |
| Jun 30, 2025 | 26.56% |
| Mar 31, 2025 | 28.49% |
| Dec 31, 2024 | 26.12% |
| Sep 30, 2024 | 26.76% |
| Jun 30, 2024 | 26.30% |
| Mar 31, 2024 | 24.60% |
| Dec 31, 2023 | 20.97% |
| Sep 30, 2023 | 22.75% |
| Jun 30, 2023 | 23.02% |
| Mar 31, 2023 | 21.69% |
| Dec 31, 2022 | 20.60% |
| Sep 30, 2022 | 10.83% |
| Jun 30, 2022 | 24.05% |
| Mar 31, 2022 | 36.94% |
| Dec 31, 2021 | 28.59% |
| Sep 30, 2021 | 29.08% |
Sei Investments 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=SEIC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SEIC", "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=SEIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();