M&T Bank (MTB) Wages, Salaries and Other (2009 - 2026)
M&T Bank's Wages, Salaries and Other was $826 million in Q2 2026, up 1.6% from $813 million a year earlier but down 9.6% from the prior quarter.
M&T Bank (MTB) Wages, Salaries and Other (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, M&T Bank's Wages, Salaries and Other was $3.38 billion through Jun 30, 2026, up 3.6% year-over-year; for FY2025, it was $3.34 billion, up 5.7% from FY2024.
- Wages, Salaries and Other has now increased for 15 consecutive years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In earlier years, Wages, Salaries and Other was $3.16 billion in FY2024 (+5.5%), $3 billion in FY2023 (+7.5%), $2.79 billion in FY2022 (+36.2%) and $2.05 billion in FY2021 (+4.9%).
- Quarterly Wages, Salaries and Other has moved between $510.42 million (Q3 2021) and $914 million (Q1 2026) over five years.
- Compared with a year earlier, Wages, Salaries and Other has increased for 11 straight quarters, with growth averaging 5.4% over the last eight quarters.
- The best year-over-year quarter for Wages, Salaries and Other over five years was Q2 2022 (growth of 62.0%); the worst was Q2 2023 (a decline of 4.9%).
- Per Business Quant data, MTB's Wages, Salaries and Other in the three quarters before Q2 2026 was $914 million (Q1 2026), $809 million (Q4 2025) and $833 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 15.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 10.99 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 8.19 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.51 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.10 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 8.85 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.54 Bn |
| 10 | M&T Bank | 32.00 Bn | 32.00 Bn | - | 826.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 826.00 Mn |
| Mar 31, 2026 | 914.00 Mn |
| Dec 31, 2025 | 809.00 Mn |
| Sep 30, 2025 | 833.00 Mn |
| Jun 30, 2025 | 813.00 Mn |
| Mar 31, 2025 | 887.00 Mn |
| Dec 31, 2024 | 790.00 Mn |
| Sep 30, 2024 | 775.00 Mn |
| Jun 30, 2024 | 764.00 Mn |
| Mar 31, 2024 | 833.00 Mn |
| Dec 31, 2023 | 724.00 Mn |
| Sep 30, 2023 | 727.00 Mn |
| Jun 30, 2023 | 738.00 Mn |
| Mar 31, 2023 | 808.00 Mn |
| Dec 31, 2022 | 696.93 Mn |
| Sep 30, 2022 | 736.35 Mn |
| Jun 30, 2022 | 776.20 Mn |
| Mar 31, 2022 | 577.52 Mn |
| Dec 31, 2021 | 515.37 Mn |
| Sep 30, 2021 | 510.42 Mn |
M&T Bank Wages, Salaries and Other 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=wages-salaries-and-other&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();