M&T Bank Corp (MTB) Other Non-Interest Expense (2009 - 2026)
Analysis
M&T Bank Corp (MTB) Other Non-Interest Expense (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 99.00 Mn |
| Mar 31, 2026 | 101.00 Mn |
| Dec 31, 2025 | 151.00 Mn |
| Sep 30, 2025 | 136.00 Mn |
| Jun 30, 2025 | 113.00 Mn |
| Mar 31, 2025 | 118.00 Mn |
| Dec 31, 2024 | 168.00 Mn |
| Sep 30, 2024 | 128.00 Mn |
| Jun 30, 2024 | 116.00 Mn |
| Mar 31, 2024 | 134.00 Mn |
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2023 | 153.00 Mn |
| Jun 30, 2023 | 149.00 Mn |
| Mar 31, 2023 | 115.00 Mn |
| Dec 31, 2022 | 393.47 Mn |
| Sep 30, 2022 | 252.83 Mn |
| Jun 30, 2022 | 346.87 Mn |
| Mar 31, 2022 | 183.83 Mn |
| Dec 31, 2021 | 208.88 Mn |
| Sep 30, 2021 | 198.64 Mn |
API Access
M&T Bank Corp Other Non-Interest Expense 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=other-non-interest-expense&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-interest-expense", "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=other-non-interest-expense&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();