Babcock & Wilcox Enterprises, Inc. (BW-PA) Buildings (2015 - 2018)
Babcock & Wilcox Enterprises (BW-PA) reported Buildings of $123.29 million for Q1 2018, up 0.8% from $122.37 million a year earlier and up 0.8% from the prior quarter.
Babcock & Wilcox Enterprises, Inc. (BW-PA) Buildings (2015 - 2018) Analysis & Trends
At the end of FY2017, Babcock & Wilcox Enterprises posted Buildings of $122.37 million, up 7.0% from FY2016.
- By year, Buildings came in at $114.32 million in FY2016 (+8.9%) and $104.96 million in FY2015.
- Per Business Quant data, the three quarters before Q1 2018 came in at $122.37 million (Q4 2017), $121.95 million (Q3 2017) and $120.57 million (Q2 2017).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 123.29 Mn |
| Dec 31, 2017 | 122.37 Mn |
| Sep 30, 2017 | 121.95 Mn |
| Jun 30, 2017 | 120.57 Mn |
| Mar 31, 2017 | 122.37 Mn |
| Dec 31, 2016 | 114.32 Mn |
| Dec 31, 2015 | 104.96 Mn |
Babcock & Wilcox Enterprises, Inc. Buildings 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=buildings&ticker=BW-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "BW-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=BW-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();