Cathay General Bancorp (CATY) Depreciation and Depletion (2010 - 2015)
Cathay General Bancorp (CATY) posted Depreciation and Depletion of $1.73 million for Q1 2015, down 0.6% from $1.74 million a year earlier but up 0.2% from the prior quarter.
Cathay General Bancorp (CATY) Depreciation and Depletion (2010 - 2015) Analysis & Trends
For the trailing twelve months through Mar 31, 2015, Depreciation and Depletion at Cathay General Bancorp was $7.06 million, up 2.2% year-over-year; for FY2014, it was $7.07 million, up 5.6% from FY2013.
- Annual Depreciation and Depletion shows a five-year compound annual growth rate of -1.7% (FY2009 to FY2014).
- In prior years, Cathay General Bancorp's Depreciation and Depletion was $6.69 million in FY2013 (+12.6%), $5.94 million in FY2012 (-2.3%), $6.08 million in FY2011 (+31.6%) and $4.62 million in FY2010 (-40.0%).
- Quarterly Depreciation and Depletion has run from a low of -$134,000 in Q4 2010 to a high of $2 million in Q2 2010 over five years.
- On a year-over-year basis, Depreciation and Depletion has declined in each of the last three quarters, with growth averaging 8.9% over the last eight quarters.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q3 2011, with growth of 124.9%; the weakest was Q1 2011, with a decline of 26.6%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $1.73 million (Q4 2014), $1.78 million (Q3 2014) and $1.81 million (Q2 2014).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | - | 243.13 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 | Cathay General Bancorp | 4.07 Bn | 3.97 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 1.73 Mn |
| Dec 31, 2014 | 1.73 Mn |
| Sep 30, 2014 | 1.78 Mn |
| Jun 30, 2014 | 1.81 Mn |
| Mar 31, 2014 | 1.74 Mn |
| Dec 31, 2013 | 1.79 Mn |
| Sep 30, 2013 | 1.79 Mn |
| Jun 30, 2013 | 1.58 Mn |
| Mar 31, 2013 | 1.53 Mn |
| Dec 31, 2012 | 1.50 Mn |
| Sep 30, 2012 | 1.48 Mn |
| Jun 30, 2012 | 1.48 Mn |
| Mar 31, 2012 | 1.47 Mn |
| Dec 31, 2011 | 1.50 Mn |
| Sep 30, 2011 | 1.53 Mn |
| Jun 30, 2011 | 1.53 Mn |
| Mar 31, 2011 | 1.52 Mn |
| Dec 31, 2010 | -134,000.00 |
| Sep 30, 2010 | 679,000.00 |
| Jun 30, 2010 | 2.00 Mn |
Cathay General Bancorp 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=CATY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "CATY", "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=CATY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();