Babcock & Wilcox Enterprises (BW) Long-Term Investments (2013 - 2018)
Babcock & Wilcox Enterprises' Long-Term Investments came in at $735,000 for Q3 2018, down 99.2% from $87.42 million a year earlier and down 91.3% from the prior quarter.
Babcock & Wilcox Enterprises (BW) Long-Term Investments (2013 - 2018) Analysis & Trends
At the end of FY2017, Babcock & Wilcox Enterprises' Long-Term Investments was $43.28 million, down 56.1% from FY2016.
- Long-Term Investments carries a four-year compound annual growth rate of -26.0% (FY2013 to FY2017).
- Going back by year, Long-Term Investments was $98.68 million in FY2016 (+7.0%), $92.2 million in FY2015 (-15.6%), $109.25 million in FY2014 (-24.4%) and $144.48 million in FY2013.
- The Q3 2018 figure represents the lowest quarterly Long-Term Investments in data going back to Q4 2013.
- Year-over-year, Long-Term Investments has declined for six consecutive quarters, with an average decline of 46.1% over the last eight quarters.
- The fastest year-over-year change in Long-Term Investments over five years came in Q3 2016 (growth of 30.7%), and the weakest in Q3 2018 (a decline of 99.2%).
- Business Quant data shows BW's Long-Term Investments at $8.42 million (Q2 2018), $8.42 million (Q1 2018) and $43.28 million (Q4 2017) in the three quarters before Q3 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 206.67 Bn | 157.77 Bn | 3.11 Bn | 1.43 Bn |
| 2 | Bloom Energy | 50.26 Bn | 40.16 Bn | 417.10 Mn | 28.24 Mn |
| 3 | First Solar | 21.21 Bn | 12.58 Bn | 713.06 Mn | 202.50 Mn |
| 4 | Nextpower | 15.07 Bn | 10.78 Bn | 345.32 Mn | - |
| 5 | BWX Technologies | 10.62 Bn | 8.43 Bn | 227.14 Mn | 161.51 Mn |
| 6 | Generac Holdings | 10.16 Bn | 8.89 Bn | 516.04 Mn | - |
| 7 | EnerSys | 5.21 Bn | 3.40 Bn | 313.36 Mn | - |
| 8 | Mirion Technologies | 4.17 Bn | 2.53 Bn | 131.50 Mn | - |
| 9 | Enphase Energy | 3.86 Bn | -452.17 Mn | 127.12 Mn | - |
| 10 | Babcock & Wilcox Enterprises | 441.94 Mn | -87.09 Mn | 46.64 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 735,000.00 |
| Jun 30, 2018 | 8.42 Mn |
| Mar 31, 2018 | 8.42 Mn |
| Dec 31, 2017 | 43.28 Mn |
| Sep 30, 2017 | 87.42 Mn |
| Jun 30, 2017 | 84.58 Mn |
| Mar 31, 2017 | 101.63 Mn |
| Dec 31, 2016 | 98.68 Mn |
| Sep 30, 2016 | 113.44 Mn |
| Jun 30, 2016 | 113.67 Mn |
| Mar 31, 2016 | 92.80 Mn |
| Dec 31, 2015 | 92.20 Mn |
| Sep 30, 2015 | 86.79 Mn |
| Jun 30, 2015 | 100.80 Mn |
| Dec 31, 2014 | 109.25 Mn |
| Dec 31, 2013 | 144.48 Mn |
Babcock & Wilcox Enterprises Long-Term Investments 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=long-term-investments&ticker=BW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "BW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=BW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();