Regions Financial (RF) Depreciation and Depletion (2010 - 2012)
Regions Financial's Depreciation and Depletion was $62 million in Q1 2012, down 8.8% from $68 million a year earlier and down 3.1% from the prior quarter.
Regions Financial (RF) Depreciation and Depletion (2010 - 2012) Analysis & Trends
On a trailing twelve-month basis, Regions Financial's Depreciation and Depletion was $263 million through Mar 31, 2012; for FY2011, it came in at $269 million, down 5.3% from FY2010.
- In earlier years, Depreciation and Depletion was $284 million in FY2010 (unchanged) and $284 million in FY2009.
- Compared with a year earlier, Depreciation and Depletion has declined for three straight quarters.
- Per Business Quant data, RF's Depreciation and Depletion in the three quarters before Q1 2012 was $64 million (Q4 2011), $67 million (Q3 2011) and $70 million (Q2 2011).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 905.34 Bn | 905.34 Bn | - | - |
| 2 | Bank Of America | 358.56 Bn | -2,017.55 Bn | - | - |
| 3 | Hsbc Holdings | 307.13 Bn | -1,796.46 Bn | - | - |
| 4 | Royal Bank Of Canada | 287.97 Bn | -542.07 Bn | - | 243.13 Mn |
| 5 | Morgan Stanley | 284.27 Bn | -224.82 Bn | - | - |
| 6 | Goldman Sachs | 257.96 Bn | -3,485.49 Bn | - | - |
| 7 | Wells Fargo & Company | 256.22 Bn | 256.22 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 241.27 Bn | -100.12 Bn | 10.89 Bn | - |
| 9 | American Express | 219.29 Bn | 18.77 Bn | - | - |
| 10 | Regions Financial | 24.32 Bn | 24.32 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2012 | 62.00 Mn |
| Dec 31, 2011 | 64.00 Mn |
| Sep 30, 2011 | 67.00 Mn |
| Jun 30, 2011 | 70.00 Mn |
| Mar 31, 2011 | 68.00 Mn |
| Dec 31, 2010 | 68.00 Mn |
| Sep 30, 2010 | 71.00 Mn |
Regions Financial 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=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "RF", "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=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();