Umb Financial (UMBF) Return on Sales [ROS] (2009 - 2026)
Umb Financial (UMBF) posted Return on Sales [ROS] of 88.59% for Q2 2026, down 6.96 percentage points from 95.55% a year earlier and down 1.24 percentage points from the prior quarter.
Umb Financial (UMBF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Umb Financial was 90.12%, down 3.93 percentage points year-over-year; for FY2025, it was 89.25%, down 15.81 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +57.02 percentage points (FY2020 to FY2025).
- In prior years, Umb Financial's Return on Sales [ROS] was 105.06% in FY2024 (+13.39 pp), 91.67% in FY2023 (+40.19 pp), 51.48% in FY2022 (+14.44 pp) and 37.04% in FY2021 (+4.81 pp).
- Quarterly Return on Sales [ROS] has run from a low of 33.21% in Q4 2021 to a high of 109.82% in Q3 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -6.01 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2023, with a gain of 55.23 percentage points; the weakest was Q1 2025, with a drop of 27.11 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 89.83% (Q1 2026), 88.04% (Q4 2025) and 94.41% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Umb Financial | 9.94 Bn | 3.29 Bn | - | 88.59% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 88.59% |
| Mar 31, 2026 | 89.83% |
| Dec 31, 2025 | 88.04% |
| Sep 30, 2025 | 94.41% |
| Jun 30, 2025 | 95.55% |
| Mar 31, 2025 | 76.86% |
| Dec 31, 2024 | 99.22% |
| Sep 30, 2024 | 109.82% |
| Jun 30, 2024 | 107.71% |
| Mar 31, 2024 | 103.97% |
| Dec 31, 2023 | 93.56% |
| Sep 30, 2023 | 103.73% |
| Jun 30, 2023 | 95.08% |
| Mar 31, 2023 | 74.93% |
| Dec 31, 2022 | 66.23% |
| Sep 30, 2022 | 48.50% |
| Jun 30, 2022 | 49.21% |
| Mar 31, 2022 | 41.07% |
| Dec 31, 2021 | 33.21% |
| Sep 30, 2021 | 39.46% |
Umb Financial 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=UMBF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "UMBF", "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=UMBF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();