Interactive Brokers (IBKR) Return on Sales [ROS] (2009 - 2026)
Interactive Brokers (IBKR) posted Return on Sales [ROS] of 138.98% for Q2 2026, down 5.28 percentage points from 144.26% a year earlier and down 0.69 percentage points from the prior quarter.
Interactive Brokers (IBKR) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Interactive Brokers was 143.06%, down 2.36 percentage points year-over-year; for FY2025, it came in at 144.88%, down 7.21 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +76.49 percentage points (FY2020 to FY2025).
- In prior years, Interactive Brokers' Return on Sales [ROS] was 152.09% in FY2024 (+2.21 pp), 149.88% in FY2023 (+51.55 pp), 98.34% in FY2022 (+24.24 pp) and 74.10% in FY2021 (+5.70 pp).
- The Q2 2026 figure stands as the lowest quarterly Return on Sales [ROS] since Q4 2022.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last three quarters, with an average year-over-year change of -6.04 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 73.47 percentage points; the weakest was Q1 2025, with a drop of 15.83 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 139.66% (Q1 2026), 146.44% (Q4 2025) and 147.79% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 109.27 Bn | 97.61 Bn | - | 65.70% |
| 2 | Bank of New York Mellon | 98.55 Bn | 37.92 Bn | - | 119.30% |
| 3 | Intercontinental Exchange | 91.26 Bn | 85.07 Bn | - | 38.52% |
| 4 | Robinhood Markets | 85.47 Bn | 66.56 Bn | - | 66.36% |
| 5 | Nasdaq | 57.27 Bn | 54.71 Bn | 1.48 Bn | 30.59% |
| 6 | State Street | 46.11 Bn | 46.11 Bn | - | 83.30% |
| 7 | Interactive Brokers | 36.17 Bn | 29.63 Bn | - | 138.98% |
| 8 | Cboe Global Markets | 35.59 Bn | 27.25 Bn | 731.60 Mn | 32.99% |
| 9 | Northern Trust | 30.73 Bn | 30.73 Bn | - | 191.07% |
| 10 | Tradeweb Markets | 28.70 Bn | 21.41 Bn | - | 43.88% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.98% |
| Mar 31, 2026 | 139.66% |
| Dec 31, 2025 | 146.44% |
| Sep 30, 2025 | 147.79% |
| Jun 30, 2025 | 144.26% |
| Mar 31, 2025 | 140.36% |
| Dec 31, 2024 | 151.12% |
| Sep 30, 2024 | 146.15% |
| Jun 30, 2024 | 155.77% |
| Mar 31, 2024 | 156.19% |
| Dec 31, 2023 | 156.37% |
| Sep 30, 2023 | 152.84% |
| Jun 30, 2023 | 150.30% |
| Mar 31, 2023 | 139.30% |
| Dec 31, 2022 | 126.54% |
| Sep 30, 2022 | 105.44% |
| Jun 30, 2022 | 76.83% |
| Mar 31, 2022 | 68.84% |
| Dec 31, 2021 | 70.98% |
| Sep 30, 2021 | 61.42% |
Interactive Brokers 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=IBKR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "IBKR", "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=IBKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();