Lifetime Brands (LCUT) Long-Term Investments (2010 - 2023)
Lifetime Brands' Long-Term Investments was $1.83 million in Q4 2023, down 85.4% from $12.52 million a year earlier and down 53.9% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Long-Term Investments (2010 - 2023) Analysis & Trends
From Q4 2010 onward, Lifetime Brands has reported Long-Term Investments for 52 quarters.
- Long-Term Investments shows a five-year compound annual growth rate of -39.5% (FY2018 to FY2023).
- In earlier years, Long-Term Investments was $12.52 million in FY2022 (-43.9%), $22.3 million in FY2021 (+11.3%), $20.03 million in FY2020 (-5.9%) and $21.29 million in FY2019 (-5.7%).
- The Q4 2023 figure marks the lowest quarterly Long-Term Investments in data going back to Q4 2010.
- Compared with a year earlier, Long-Term Investments has declined for seven straight quarters, with an average decline of 45.8% over the last eight quarters.
- The best year-over-year quarter for Long-Term Investments over five years was Q2 2021 (growth of 39.7%); the worst was Q4 2023 (a decline of 85.4%).
- Per Business Quant data, LCUT's Long-Term Investments in the three quarters before Q4 2023 was $3.96 million (Q3 2023), $5.3 million (Q2 2023) and $10.41 million (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | - |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | - |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 83.00 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | - |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | - |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | - |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | - |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | - |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | - |
| 10 | Lifetime Brands | 197.70 Mn | 162.00 Mn | 93.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.83 Mn |
| Sep 30, 2023 | 3.96 Mn |
| Jun 30, 2023 | 5.30 Mn |
| Mar 31, 2023 | 10.41 Mn |
| Dec 31, 2022 | 12.52 Mn |
| Sep 30, 2022 | 14.42 Mn |
| Jun 30, 2022 | 22.10 Mn |
| Mar 31, 2022 | 22.77 Mn |
| Dec 31, 2021 | 22.30 Mn |
| Sep 30, 2021 | 22.14 Mn |
| Jun 30, 2021 | 23.78 Mn |
| Mar 31, 2021 | 21.14 Mn |
| Dec 31, 2020 | 20.03 Mn |
| Sep 30, 2020 | 17.73 Mn |
| Jun 30, 2020 | 17.02 Mn |
| Mar 31, 2020 | 20.15 Mn |
| Dec 31, 2019 | 21.29 Mn |
| Sep 30, 2019 | 20.35 Mn |
| Jun 30, 2019 | 20.94 Mn |
| Mar 31, 2019 | 22.19 Mn |
API Access
Lifetime Brands 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=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();