State Street (STT) Return on Sales [ROS] (2009 - 2026)
State Street (STT) posted Return on Sales [ROS] of 83.30% for Q2 2026, down 9.94 percentage points from 93.24% a year earlier but up 9.93 percentage points from the prior quarter.
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Analysis
State Street (STT) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at State Street was 81.87%, down 13.24 percentage points year-over-year; for FY2025, it was 89.03%, down 6.73 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +61.06 percentage points (FY2020 to FY2025).
- In prior years, State Street's Return on Sales [ROS] was 95.76% in FY2024 (+22.62 pp), 73.14% in FY2023 (+33.05 pp), 40.10% in FY2022 (+13.71 pp) and 26.39% in FY2021 (-1.59 pp).
- Quarterly Return on Sales [ROS] has run from a low of 23.88% in Q4 2021 to a high of 100.74% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last five quarters, with an average year-over-year change of -1.45 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2023, with a gain of 46.66 percentage points; the weakest was Q1 2026, with a drop of 18.90 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 73.37% (Q1 2026), 78.13% (Q4 2025) and 93.23% (Q3 2025).
Peer Set
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 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 11.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.30% |
| Mar 31, 2026 | 73.37% |
| Dec 31, 2025 | 78.13% |
| Sep 30, 2025 | 93.23% |
| Jun 30, 2025 | 93.24% |
| Mar 31, 2025 | 92.27% |
| Dec 31, 2024 | 94.37% |
| Sep 30, 2024 | 100.74% |
| Jun 30, 2024 | 99.50% |
| Mar 31, 2024 | 88.30% |
| Dec 31, 2023 | 69.54% |
| Sep 30, 2023 | 82.31% |
| Jun 30, 2023 | 79.00% |
| Mar 31, 2023 | 62.85% |
| Dec 31, 2022 | 58.95% |
| Sep 30, 2022 | 43.60% |
| Jun 30, 2022 | 32.34% |
| Mar 31, 2022 | 24.86% |
| Dec 31, 2021 | 23.88% |
| Sep 30, 2021 | 29.30% |
API Access
State Street 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=STT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STT", "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=STT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();