UP Fintech Holding (TIGR) Return on Sales [ROS] (2018 - 2026)
UP Fintech Holding (TIGR) reported Return on Sales [ROS] of 31.17% for Q2 2026, down 5.19 percentage points from 36.35% a year earlier but up 0.47 percentage points from the prior quarter.
UP Fintech Holding (TIGR) Return on Sales [ROS] (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, UP Fintech Holding's Return on Sales [ROS] came in at 26.55%, up 5.86 percentage points year-over-year; for FY2025, it was 127.48%, down 10.57 percentage points from FY2024.
- Return on Sales [ROS] has declined for three consecutive years, with a five-year change of -69.91 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 138.05% in FY2024 (-8.83 pp), 146.89% in FY2023 (-63.93 pp), 210.82% in FY2022 (+3.35 pp) and 207.47% in FY2021 (+10.08 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -23.13% in Q4 2023 and a high of 36.35% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +16.22 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2025 (a gain of 44.76 percentage points); the low point was Q1 2022 (a drop of 46.75 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 30.70% (Q1 2026), 19.99% (Q4 2025) and 24.64% (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 | UP Fintech Holding | 11.03 Bn | 11.04 Bn | - | 31.17% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.17% |
| Mar 31, 2026 | 30.70% |
| Dec 31, 2025 | 19.99% |
| Sep 30, 2025 | 24.64% |
| Jun 30, 2025 | 36.35% |
| Mar 31, 2025 | 19.65% |
| Dec 31, 2024 | 16.91% |
| Sep 30, 2024 | 5.07% |
| Jun 30, 2024 | -8.41% |
| Mar 31, 2024 | 2.79% |
| Dec 31, 2023 | -23.13% |
| Sep 30, 2023 | 5.47% |
| Jun 30, 2023 | 11.29% |
| Mar 31, 2023 | 5.92% |
| Dec 31, 2022 | -5.58% |
| Sep 30, 2022 | 1.23% |
| Jun 30, 2022 | -7.02% |
| Mar 31, 2022 | -19.01% |
| Dec 31, 2021 | -16.34% |
| Sep 30, 2021 | 24.57% |
UP Fintech Holding 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=TIGR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TIGR", "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=TIGR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();