M&T Bank (MTB) Shares Outstanding (Diluted) (2009 - 2026)
M&T Bank (MTB) reported Shares Outstanding (Diluted) of 146.76 million for Q2 2026, down 8.3% from 160.01 million a year earlier and down 2.2% from the prior quarter.
M&T Bank (MTB) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, M&T Bank posted Shares Outstanding (Diluted) of 158.79 million, down 5.1% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 167.32 million in FY2024 (+0.2%), 167 million in FY2023 (+1.8%), 164.03 million in FY2022 (+27.3%) and 128.81 million in FY2021 (+0.1%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) since Q1 2022.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last six quarters, with an average decline of 4.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q2 2022 (growth of 38.4%); the low point was Q1 2026 (a decline of 9.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 150.11 million (Q1 2026), 158.79 million (Q4 2025) and 156.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 3.07 Bn |
| 10 | M&T Bank | 31.65 Bn | 31.65 Bn | - | 146.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.76 Mn |
| Mar 31, 2026 | 150.11 Mn |
| Dec 31, 2025 | 158.79 Mn |
| Sep 30, 2025 | 156.55 Mn |
| Jun 30, 2025 | 160.01 Mn |
| Mar 31, 2025 | 165.05 Mn |
| Dec 31, 2024 | 167.32 Mn |
| Sep 30, 2024 | 167.57 Mn |
| Jun 30, 2024 | 167.66 Mn |
| Mar 31, 2024 | 167.08 Mn |
| Dec 31, 2023 | 167.00 Mn |
| Sep 30, 2023 | 166.57 Mn |
| Jun 30, 2023 | 166.32 Mn |
| Mar 31, 2023 | 168.41 Mn |
| Dec 31, 2022 | 164.03 Mn |
| Sep 30, 2022 | 175.68 Mn |
| Jun 30, 2022 | 178.28 Mn |
| Mar 31, 2022 | 129.42 Mn |
| Dec 31, 2021 | 128.81 Mn |
| Sep 30, 2021 | 128.84 Mn |
M&T Bank Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();