Lifetime Brands (LCUT) Finished Goods (2011 - 2018)
Lifetime Brands (LCUT) reported Finished Goods of $199.58 million for Q3 2018, up 15.5% from $172.82 million a year earlier and up 5.7% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Finished Goods (2011 - 2018) Analysis & Trends
At the end of FY2017, Lifetime Brands posted Finished Goods of $125.36 million, down 5.4% from FY2016.
- Finished Goods has declined for three consecutive years, though with a five-year compound annual growth rate of 4.4% (FY2012 to FY2017).
- By year, Finished Goods came in at $132.56 million in FY2016 (-0.8%), $133.62 million in FY2015 (-0.7%), $134.56 million in FY2014 (+24.2%) and $108.34 million in FY2013 (+7.2%).
- The Q3 2018 figure ranks as the highest quarterly Finished Goods in data going back to Q4 2011.
- Year over year, Finished Goods has now increased in each of the last three quarters, with growth averaging 7.9% over the last eight quarters.
- The high point for year-over-year Finished Goods in five years was Q2 2014 (growth of 39.6%); the low point was Q4 2017 (a decline of 5.4%).
- Per Business Quant data, the three quarters before Q3 2018 came in at $188.81 million (Q2 2018), $174.57 million (Q1 2018) and $125.36 million (Q4 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn |
| 10 | Lifetime Brands | 211.96 Mn | 176.25 Mn | 93.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | 199.58 Mn |
| Jun 30, 2018 | 188.81 Mn |
| Mar 31, 2018 | 174.57 Mn |
| Dec 31, 2017 | 125.36 Mn |
| Sep 30, 2017 | 172.82 Mn |
| Jun 30, 2017 | 164.65 Mn |
| Mar 31, 2017 | 151.51 Mn |
| Dec 31, 2016 | 132.56 Mn |
| Sep 30, 2016 | 168.91 Mn |
| Jun 30, 2016 | 147.88 Mn |
| Mar 31, 2016 | 136.93 Mn |
| Dec 31, 2015 | 133.62 Mn |
| Sep 30, 2015 | 170.22 Mn |
| Jun 30, 2015 | 151.02 Mn |
| Mar 31, 2015 | 139.56 Mn |
| Dec 31, 2014 | 134.56 Mn |
| Sep 30, 2014 | 166.96 Mn |
| Jun 30, 2014 | 149.85 Mn |
| Mar 31, 2014 | 132.84 Mn |
| Dec 31, 2013 | 108.34 Mn |
API Access
Lifetime Brands 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=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "ticker": "LCUT", "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=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();