Light & Wonder (LNWO) Finished Goods (2010 - 2018)
Light & Wonder (LNWO) posted Finished Goods of $85.1 million for Q4 2018, down 25.6% from $114.4 million a year earlier and down 6.6% from the prior quarter.
Analysis
Light & Wonder (LNWO) Finished Goods (2010 - 2018) Analysis & Trends
Since Q4 2010, Light & Wonder has reported Finished Goods for 25 quarters.
- Annual Finished Goods shows a five-year compound annual growth rate of 2.4% (FY2013 to FY2018).
- In prior years, Light & Wonder's Finished Goods was $114.4 million in FY2017 (-13.2%), $131.8 million in FY2016 (+1.2%), $130.2 million in FY2015 (-18.6%) and $159.9 million in FY2014 (+111.2%).
- The Q4 2018 figure stands as the lowest quarterly Finished Goods since Q1 2014.
- On a year-over-year basis, Finished Goods has declined in each of the last three quarters, with an average decline of 17.7% over the last five quarters.
- The strongest year-over-year quarter for Finished Goods in the past five years was Q2 2014, with growth of 130.0%; the weakest was Q3 2018, with a decline of 30.7%.
- According to Business Quant data, Finished Goods for the three prior quarters was $91.1 million (Q3 2018), $94 million (Q2 2018) and $99.2 million (Q1 2018).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 85.10 Mn |
| Sep 30, 2018 | 91.10 Mn |
| Jun 30, 2018 | 94.00 Mn |
| Mar 31, 2018 | 99.20 Mn |
| Dec 31, 2017 | 114.40 Mn |
| Sep 30, 2017 | 131.40 Mn |
| Jun 30, 2017 | 132.30 Mn |
| Dec 31, 2016 | 131.80 Mn |
| Jun 30, 2016 | 120.40 Mn |
| Dec 31, 2015 | 130.20 Mn |
| Jun 30, 2015 | 121.80 Mn |
| Dec 31, 2014 | 159.90 Mn |
| Sep 30, 2014 | 100.50 Mn |
| Jun 30, 2014 | 95.60 Mn |
| Mar 31, 2014 | 84.10 Mn |
| Dec 31, 2013 | 75.70 Mn |
| Sep 30, 2013 | 49.23 Mn |
| Jun 30, 2013 | 41.56 Mn |
| Dec 31, 2012 | 43.90 Mn |
| Sep 30, 2012 | 55.57 Mn |
API Access
Light & Wonder Finished Goods 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=finished-goods&ticker=LNWO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "LNWO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=finished-goods&ticker=LNWO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();