M&T Bank (MTB) Non Operating Interest Expenses (2009 - 2024)
M&T Bank (MTB) posted Non Operating Interest Expenses of $1.07 billion for Q2 2024, up 49.4% from $717 million a year earlier and up 0.6% from the prior quarter.
M&T Bank (MTB) Non Operating Interest Expenses (2009 - 2024) Analysis & Trends
For the trailing twelve months through Jun 30, 2024, Non Operating Interest Expenses at M&T Bank was $4.02 billion, up 155.5% year-over-year; for FY2023, it came in at $3.11 billion, up 631.5% from FY2022.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 42.6% (FY2018 to FY2023).
- In prior years, M&T Bank's Non Operating Interest Expenses was $425 million in FY2022 (+272.8%), $114 million in FY2021 (-65.1%), $326.4 million in FY2020 (-56.4%) and $749.33 million in FY2019 (+42.3%).
- The Q2 2024 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2009.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last four quarters, with growth averaging 401.1% over the last six quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2022, with growth of 889.8%; the weakest was Q1 2021, with a decline of 75.2%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $1.07 billion (Q1 2024), $1.02 billion (Q4 2023) and $866.01 million (Q3 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | M&T Bank | 31.43 Bn | 31.43 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 1.07 Bn |
| Mar 31, 2024 | 1.07 Bn |
| Dec 31, 2023 | 1.02 Bn |
| Sep 30, 2023 | 866.01 Mn |
| Jun 30, 2023 | 717.00 Mn |
| Mar 31, 2023 | 509.00 Mn |
| Dec 31, 2022 | 244.67 Mn |
| Sep 30, 2022 | 102.82 Mn |
| Jun 30, 2022 | 53.43 Mn |
| Mar 31, 2022 | 24.08 Mn |
| Dec 31, 2021 | 24.72 Mn |
| Sep 30, 2021 | 25.70 Mn |
| Jun 30, 2021 | 28.02 Mn |
| Mar 31, 2021 | 35.57 Mn |
| Dec 31, 2020 | 49.61 Mn |
| Sep 30, 2020 | 58.07 Mn |
| Jun 30, 2020 | 75.11 Mn |
| Mar 31, 2020 | 143.61 Mn |
| Dec 31, 2019 | 177.07 Mn |
| Sep 30, 2019 | 199.58 Mn |
M&T Bank Non Operating Interest 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=non-operating-interest-expenses&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();