Northern Trust (NTRS) Return on Sales [ROS] (2009 - 2026)
Northern Trust (NTRS) reported Return on Sales [ROS] of 191.07% for Q2 2026, up 15.04 percentage points from 176.03% a year earlier and up 21.05 percentage points from the prior quarter.
Northern Trust (NTRS) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Northern Trust's Return on Sales [ROS] came in at 173.85%, down 14.09 percentage points year-over-year; for FY2025, it came in at 170.46%, down 46.24 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +124.70 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 216.69% in FY2024 (+60.61 pp), 156.08% in FY2023 (+93.88 pp), 62.19% in FY2022 (+15.56 pp) and 46.64% in FY2021 (+0.88 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -14.00 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2024 (a gain of 118.95 percentage points); the low point was Q2 2025 (a drop of 94.72 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 170.02% (Q1 2026), 162.06% (Q4 2025) and 171.71% (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 | LPL Financial Holdings | 24.92 Bn | 20.24 Bn | - | 11.90% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 191.07% |
| Mar 31, 2026 | 170.02% |
| Dec 31, 2025 | 162.06% |
| Sep 30, 2025 | 171.71% |
| Jun 30, 2025 | 176.03% |
| Mar 31, 2025 | 172.53% |
| Dec 31, 2024 | 189.04% |
| Sep 30, 2024 | 214.69% |
| Jun 30, 2024 | 270.75% |
| Mar 31, 2024 | 193.20% |
| Dec 31, 2023 | 170.85% |
| Sep 30, 2023 | 172.06% |
| Jun 30, 2023 | 151.80% |
| Mar 31, 2023 | 128.64% |
| Dec 31, 2022 | 79.26% |
| Sep 30, 2022 | 75.16% |
| Jun 30, 2022 | 53.06% |
| Mar 31, 2022 | 43.93% |
| Dec 31, 2021 | 46.01% |
| Sep 30, 2021 | 47.07% |
Northern Trust 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=NTRS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NTRS", "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=NTRS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();