Wisconsin Electric Power Co (WELPP) Accumulated Depreciation (2010 - 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 Co (WELPP) Accumulated Depreciation (2010 - 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
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 Co 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();