M&T Bank (MTB) Depreciation and Depletion (2010 - 2012)
M&T Bank (MTB) reported Depreciation and Depletion of $96.5 million for FY2014, up 5.5% from $91.47 million in FY2013.
Analysis
M&T Bank (MTB) Depreciation and Depletion (2010 - 2012) Analysis & Trends
Dating back to FY2009, M&T Bank's Depreciation and Depletion record includes 6 years.
- Depreciation and Depletion has increased for five consecutive years, with a five-year compound annual growth rate of 8.4% (FY2009 to FY2014).
- The FY2014 figure ranks as the highest annual Depreciation and Depletion in data going back to FY2009.
- According to Business Quant data, Depreciation and Depletion came in at $91.47 million in FY2013 (+8.4%), $84.38 million in FY2012 (+5.1%), $80.3 million in FY2011 (+18.7%) and $67.68 million in FY2010 (+5.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 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 | - | 243.13 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 20.74 Mn |
| Mar 31, 2012 | 21.02 Mn |
| Dec 31, 2011 | 20.08 Mn |
| Sep 30, 2011 | 21.85 Mn |
| Jun 30, 2011 | 20.39 Mn |
| Mar 31, 2011 | 17.98 Mn |
| Dec 31, 2010 | 16.46 Mn |
API Access
M&T Bank Depreciation and Depletion 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=depreciation-and-depletion&ticker=MTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();