M&T Bank Corp (MTB) Accumulated Expenses (2013 - 2023)
M&T Bank (MTB) posted Accumulated Expenses of $152 million for Q4 2023, down 11.6% from $172 million a year earlier.
Analysis
M&T Bank Corp (MTB) Accumulated Expenses (2013 - 2023) Analysis & Trends
Since Q4 2013, M&T Bank has reported Accumulated Expenses for 11 quarters.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 19.0% (FY2018 to FY2023).
- In prior years, M&T Bank's Accumulated Expenses was $172 million in FY2022 (+66.6%), $103.24 million in FY2021 (+6.8%), $96.66 million in FY2020 (+30.2%) and $74.24 million in FY2019 (+16.5%).
- The Q4 2023 figure stands as the lowest quarterly Accumulated Expenses since Q4 2021.
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 152.00 Mn |
| Dec 31, 2022 | 172.00 Mn |
| Dec 31, 2021 | 103.24 Mn |
| Dec 31, 2020 | 96.66 Mn |
| Dec 31, 2019 | 74.24 Mn |
| Dec 31, 2018 | 63.72 Mn |
| Dec 31, 2017 | 49.09 Mn |
| Dec 31, 2016 | 54.49 Mn |
| Dec 31, 2015 | 56.80 Mn |
| Dec 31, 2014 | 59.95 Mn |
| Dec 31, 2013 | 62.82 Mn |
API Access
M&T Bank Corp Accumulated Expenses 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=accumulated-expenses&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();