M&T Bank (MTB) Amortizatization of Intangibles (2009 - 2026)
M&T Bank's Amortizatization of Intangibles came in at $7 million for Q2 2026, down 22.2% from $9 million a year earlier and down 22.2% from the prior quarter.
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Analysis
M&T Bank (MTB) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, M&T Bank reported Amortizatization of Intangibles of $58 million, down 35.6% year-over-year; for FY2025, it was $133 million, down 4.3% from FY2024.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Going back by year, Amortizatization of Intangibles was $139 million in FY2024 (+6.1%), $131 million in FY2023 (+35.1%), $97 million in FY2022 (+7.8%) and $90 million in FY2021 (+6.1%).
- The Q2 2026 figure represents the lowest quarterly Amortizatization of Intangibles since Q3 2021.
- Year-over-year, Amortizatization of Intangibles has declined for nine consecutive quarters, with an average decline of 22.5% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2022 (growth of 571.7%), and the weakest in Q1 2026 (a decline of 73.5%).
- Business Quant data shows MTB's Amortizatization of Intangibles at $9 million (Q1 2026), $32 million (Q4 2025) and $10 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | M&T Bank | 31.65 Bn | 31.65 Bn | - | 7.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.00 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | 32.00 Mn |
| Sep 30, 2025 | 10.00 Mn |
| Jun 30, 2025 | 9.00 Mn |
| Mar 31, 2025 | 34.00 Mn |
| Dec 31, 2024 | 35.00 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 35.00 Mn |
| Dec 31, 2023 | 37.00 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 15.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 21.84 Mn |
| Sep 30, 2022 | 18.38 Mn |
| Jun 30, 2022 | 18.38 Mn |
| Mar 31, 2022 | 25.32 Mn |
| Dec 31, 2021 | 24.00 Mn |
| Sep 30, 2021 | 2.74 Mn |
API Access
M&T Bank Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MTB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();