M&T Bank (MTB) Return on Sales [ROS] (2009 - 2026)
M&T Bank's Return on Sales [ROS] came in at 74.68% for Q2 2026, down 1.73 percentage points from 76.42% a year earlier but up 7.21 percentage points from the prior quarter.
M&T Bank (MTB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, M&T Bank reported Return on Sales [ROS] of 73.40%, down 3.96 percentage points year-over-year; for FY2025, it came in at 74.61%, down 6.04 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +39.42 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 80.66% in FY2024 (+10.88 pp), 69.77% in FY2023 (+32.64 pp), 37.13% in FY2022 (-5.74 pp) and 42.87% in FY2021 (+7.68 pp).
- The five-year range for quarterly Return on Sales [ROS] is 11.32% (Q4 2021) to 1143.19% (Q3 2023).
- Year-over-year, Return on Sales [ROS] has declined for six consecutive quarters, with an average year-over-year change of -254.01 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q2 2023 (a gain of 913.59 percentage points), and the weakest in Q3 2024 (a drop of 1058.80 percentage points).
- Business Quant data shows MTB's Return on Sales [ROS] at 67.47% (Q1 2026), 73.90% (Q4 2025) and 77.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | M&T Bank | 31.39 Bn | 31.39 Bn | - | 74.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.68% |
| Mar 31, 2026 | 67.47% |
| Dec 31, 2025 | 73.90% |
| Sep 30, 2025 | 77.36% |
| Jun 30, 2025 | 76.42% |
| Mar 31, 2025 | 70.51% |
| Dec 31, 2024 | 78.03% |
| Sep 30, 2024 | 84.39% |
| Jun 30, 2024 | 83.67% |
| Mar 31, 2024 | 1,080.63% |
| Dec 31, 2023 | 18.02% |
| Sep 30, 2023 | 1,143.19% |
| Jun 30, 2023 | 1,087.77% |
| Mar 31, 2023 | 739.69% |
| Dec 31, 2022 | 16.46% |
| Sep 30, 2022 | 509.35% |
| Jun 30, 2022 | 174.18% |
| Mar 31, 2022 | 295.13% |
| Dec 31, 2021 | 11.32% |
| Sep 30, 2021 | 426.72% |
M&T Bank 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=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MTB", "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=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();