Lifetime Brands (LCUT) Price to Earnings (2011 - 2026)
Lifetime Brands' (LCUT) Price to Earnings came in at 6.17 for Q2 2026.
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Analysis
Lifetime Brands (LCUT) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2021, Lifetime Brands' Price to Earnings stood at 50.20, down 22.6% from FY2020.
- In prior years, Lifetime Brands' Price to Earnings was 64.89 in FY2020 (-34.0%), 98.40 in FY2019 and 114.16 in FY2017 (+594.6%).
- The Q2 2026 figure stands as the highest quarterly Price to Earnings since Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn |
| 10 | Lifetime Brands | 209.66 Mn | 173.95 Mn | 93.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.17 |
| Jun 30, 2022 | 27.47 |
| Mar 31, 2022 | 15.82 |
| Dec 31, 2021 | 16.90 |
| Sep 30, 2021 | 10.93 |
| Jun 30, 2021 | 8.67 |
| Mar 31, 2021 | 11.44 |
| Mar 31, 2019 | 39.47 |
| Dec 31, 2017 | 114.16 |
| Sep 30, 2017 | 17.30 |
| Jun 30, 2017 | 15.11 |
| Mar 31, 2017 | 15.68 |
| Dec 31, 2016 | 16.44 |
| Sep 30, 2016 | 16.22 |
| Jun 30, 2016 | 19.80 |
| Mar 31, 2016 | 21.23 |
| Dec 31, 2015 | 15.15 |
| Sep 30, 2015 | 18.62 |
| Jun 30, 2015 | 53.81 |
| Mar 31, 2015 | 89.43 |
API Access
Lifetime Brands Price to Earnings 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=price-to-earnings&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();