Wisconsin Electric Power (WELPP) Accumulated Depreciation (2009 - 2016)
Wisconsin Electric Power (WELPP) posted Accumulated Depreciation of $3.58 billion for Q3 2016, up 1.4% from $3.53 billion a year earlier and up 1.2% from the prior quarter.
Wisconsin Electric Power (WELPP) Accumulated Depreciation (2009 - 2016) Analysis & Trends
At the end of FY2015, Wisconsin Electric Power's Accumulated Depreciation came in at $3.46 billion, up 1.6% from FY2014.
- Annual Accumulated Depreciation has increased for five consecutive years, with a five-year compound annual growth rate of 3.8% (FY2010 to FY2015).
- In prior years, Wisconsin Electric Power's Accumulated Depreciation was $3.41 billion in FY2014 (+4.5%), $3.26 billion in FY2013 (+4.5%), $3.12 billion in FY2012 (+5.1%) and $2.96 billion in FY2011 (+3.0%).
- The Q3 2016 figure stands as the highest quarterly Accumulated Depreciation in data going back to Q4 2010.
- On a year-over-year basis, Accumulated Depreciation has increased in each of the last 18 quarters, with growth averaging 3.0% over the last eight quarters.
- The year-over-year growth in Accumulated Depreciation has ranged between 1.1% (Q2 2016) and 5.3% (Q1 2013) over the last five years.
- According to Business Quant data, Accumulated Depreciation for the three prior quarters was $3.54 billion (Q2 2016), $3.5 billion (Q1 2016) and $3.46 billion (Q4 2015).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Wisconsin Electric Power | 99,216.00 Bn | 99,215.99 Bn | 911.30 Mn |
| 2 | Enel Chile | 301.57 Bn | 301.57 Bn | 1.33 Bn |
| 3 | Nextera Energy | 180.93 Bn | 179.04 Bn | - |
| 4 | Southern | 109.04 Bn | 101.70 Bn | 7.31 Bn |
| 5 | Duke Energy | 100.59 Bn | 99.24 Bn | 6.37 Bn |
| 6 | National Grid | 86.94 Bn | 59.27 Bn | - |
| 7 | American Electric Power | 69.61 Bn | 68.67 Bn | 4.75 Bn |
| 8 | Entergy | 53.37 Bn | 42.94 Bn | - |
| 9 | Sempra | 51.29 Bn | 84.11 Bn | - |
| 10 | Xcel Energy | 50.89 Bn | 44.36 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2016 | 3.58 Bn |
| Jun 30, 2016 | 3.54 Bn |
| Mar 31, 2016 | 3.50 Bn |
| Dec 31, 2015 | 3.46 Bn |
| Sep 30, 2015 | 3.53 Bn |
| Jun 30, 2015 | 3.50 Bn |
| Mar 31, 2015 | 3.46 Bn |
| Dec 31, 2014 | 3.41 Bn |
| Sep 30, 2014 | 3.39 Bn |
| Jun 30, 2014 | 3.34 Bn |
| Mar 31, 2014 | 3.30 Bn |
| Dec 31, 2013 | 3.26 Bn |
| Sep 30, 2013 | 3.22 Bn |
| Jun 30, 2013 | 3.18 Bn |
| Mar 31, 2013 | 3.16 Bn |
| Dec 31, 2012 | 3.12 Bn |
| Sep 30, 2012 | 3.07 Bn |
| Jun 30, 2012 | 3.04 Bn |
| Mar 31, 2012 | 3.00 Bn |
| Dec 31, 2011 | 2.96 Bn |
Wisconsin Electric Power Accumulated Depreciation 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=accumulated-depreciation&ticker=WELPP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "WELPP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-depreciation&ticker=WELPP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();