Bank of New York Mellon (BNY) Return on Sales [ROS] (2009 - 2026)
Bank of New York Mellon's Return on Sales [ROS] came in at 119.30% for Q2 2026, down 24.99 percentage points from 144.30% a year earlier and down 0.27 percentage points from the prior quarter.
Bank of New York Mellon (BNY) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank of New York Mellon reported Return on Sales [ROS] of 127.61%, down 15.35 percentage points year-over-year; for FY2025, it was 138.15%, down 7.63 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +102.72 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 145.78% in FY2024 (+29.46 pp), 116.32% in FY2023 (+73.41 pp), 42.92% in FY2022 (+12.32 pp) and 30.60% in FY2021 (-4.82 pp).
- The Q2 2026 figure represents the lowest quarterly Return on Sales [ROS] since Q4 2023.
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -3.61 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 92.56 percentage points), and the weakest in Q2 2026 (a drop of 24.99 percentage points).
- Business Quant data shows BNY's Return on Sales [ROS] at 119.57% (Q1 2026), 130.76% (Q4 2025) and 142.24% (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 119.30% |
| Mar 31, 2026 | 119.57% |
| Dec 31, 2025 | 130.76% |
| Sep 30, 2025 | 142.24% |
| Jun 30, 2025 | 144.30% |
| Mar 31, 2025 | 135.41% |
| Dec 31, 2024 | 138.84% |
| Sep 30, 2024 | 153.61% |
| Jun 30, 2024 | 149.92% |
| Mar 31, 2024 | 140.99% |
| Dec 31, 2023 | 117.86% |
| Sep 30, 2023 | 132.01% |
| Jun 30, 2023 | 122.41% |
| Mar 31, 2023 | 92.91% |
| Dec 31, 2022 | 69.66% |
| Sep 30, 2022 | 39.45% |
| Jun 30, 2022 | 33.58% |
| Mar 31, 2022 | 25.37% |
| Dec 31, 2021 | 27.78% |
| Sep 30, 2021 | 30.06% |
Bank of New York Mellon 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=BNY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BNY", "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=BNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();