Lifetime Brands (LCUT) Revenue (2010 - 2026)
Lifetime Brands (LCUT) reported Revenue of $141.57 million for Q2 2026, up 7.4% from $131.86 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lifetime Brands' Revenue came in at $661.06 million, down 1.5% year-over-year; for FY2025, it was $647.93 million, down 5.1% from FY2024.
- Revenue has declined for four consecutive years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- By year, Revenue came in at $682.95 million in FY2024 (-0.5%), $686.68 million in FY2023 (-5.6%), $727.66 million in FY2022 (-15.7%) and $862.92 million in FY2021 (+12.2%).
- Five-year quarterly Revenue spans a low of $131.86 million in Q2 2025 and a high of $255.86 million in Q4 2021.
- Year over year, Revenue gained in three of the last eight quarters, with an average decline of 1.1%.
- The high point for year-over-year Revenue in five years was Q2 2026 (growth of 7.4%); the low point was Q1 2023 (a decline of 20.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $143.51 million (Q1 2026), $204.07 million (Q4 2025) and $171.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 1.77 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | 1.82 Bn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | 1.47 Bn |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 1.99 Bn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 375.26 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 3.52 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | 314.34 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 923.40 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 156.29 Mn |
| 10 | Lifetime Brands | 199.54 Mn | 163.84 Mn | 93.24 Mn | 141.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 141.57 Mn |
| Mar 31, 2026 | 143.51 Mn |
| Dec 31, 2025 | 204.07 Mn |
| Sep 30, 2025 | 171.91 Mn |
| Jun 30, 2025 | 131.86 Mn |
| Mar 31, 2025 | 140.09 Mn |
| Dec 31, 2024 | 215.21 Mn |
| Sep 30, 2024 | 183.84 Mn |
| Jun 30, 2024 | 141.67 Mn |
| Mar 31, 2024 | 142.24 Mn |
| Dec 31, 2023 | 203.14 Mn |
| Sep 30, 2023 | 191.67 Mn |
| Jun 30, 2023 | 146.44 Mn |
| Mar 31, 2023 | 145.44 Mn |
| Dec 31, 2022 | 207.04 Mn |
| Sep 30, 2022 | 186.59 Mn |
| Jun 30, 2022 | 151.31 Mn |
| Mar 31, 2022 | 182.72 Mn |
| Dec 31, 2021 | 255.86 Mn |
| Sep 30, 2021 | 224.78 Mn |
API Access
Lifetime Brands Revenue 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=revenue&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();