M&T Bank Corp (MTB) EPS (Diluted) (2009 - 2026)
M&T Bank (MTB) reported EPS (Diluted) of $5.32 for Q2 2026, up 25.4% from $4.24 a year earlier and up 28.8% from the prior quarter.
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Analysis
M&T Bank Corp (MTB) EPS (Diluted) (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, M&T Bank's EPS (Diluted) came in at $19.58, up 23.1% year-over-year; for FY2025, it was $17.00, up 16.1% from FY2024.
- EPS (Diluted) has a five-year compound annual growth rate of 10.1% (FY2020 to FY2025).
- By year, EPS (Diluted) came in at $14.64 in FY2024 (-7.3%), $15.78 in FY2023 (+36.9%), $11.53 in FY2022 (-20.1%) and $14.43 in FY2021 (+37.3%).
- The Q2 2026 figure ranks as the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Year over year, EPS (Diluted) has now increased in each of the last eight quarters, with growth averaging 19.1% over the last eight quarters.
- The high point for year-over-year EPS (Diluted) in five years was Q2 2023 (growth of 314.4%); the low point was Q2 2022 (a decline of 65.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $4.13 (Q1 2026), $4.52 (Q4 2025) and $4.82 (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.32 |
| Mar 31, 2026 | 4.13 |
| Dec 31, 2025 | 4.52 |
| Sep 30, 2025 | 4.82 |
| Jun 30, 2025 | 4.24 |
| Mar 31, 2025 | 3.31 |
| Dec 31, 2024 | 3.85 |
| Sep 30, 2024 | 4.02 |
| Jun 30, 2024 | 3.73 |
| Mar 31, 2024 | 3.02 |
| Dec 31, 2023 | 2.73 |
| Sep 30, 2023 | 3.99 |
| Jun 30, 2023 | 5.06 |
| Mar 31, 2023 | 4.17 |
| Dec 31, 2022 | 4.67 |
| Sep 30, 2022 | 3.68 |
| Jun 30, 2022 | 1.22 |
| Mar 31, 2022 | 2.80 |
| Dec 31, 2021 | 3.56 |
| Sep 30, 2021 | 3.85 |
API Access
M&T Bank Corp EPS (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=eps-diluted&ticker=MTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();