Lifetime Brands (LCUT) Current Taxes (2010 - 2026)
Lifetime Brands' Current Taxes was $4.4 million in Q2 2026.
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Analysis
Lifetime Brands (LCUT) Current Taxes (2010 - 2026) Analysis & Trends
At the end of FY2024, Current Taxes at Lifetime Brands came in at $830,000, up 29.5% from FY2023.
- Current Taxes shows a four-year compound annual growth rate of -35.5% (FY2020 to FY2024).
- In earlier years, Current Taxes was $641,000 in FY2023 (+186.2%), $224,000 in FY2022 (-62.9%), $604,000 in FY2021 (-87.4%) and $4.79 million in FY2020.
- The Q2 2026 figure marks the highest quarterly Current Taxes since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 29.88 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 33.60 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 | 12.83 Mn |
| 10 | Lifetime Brands | 211.96 Mn | 176.25 Mn | 93.24 Mn | 4.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.40 Mn |
| Mar 31, 2025 | 491,000.00 |
| Dec 31, 2024 | 830,000.00 |
| Mar 31, 2024 | 567,000.00 |
| Dec 31, 2023 | 641,000.00 |
| Dec 31, 2022 | 224,000.00 |
| Mar 31, 2022 | 1.77 Mn |
| Dec 31, 2021 | 604,000.00 |
| Sep 30, 2021 | 2.15 Mn |
| Mar 31, 2021 | 6.95 Mn |
| Dec 31, 2020 | 4.79 Mn |
| Sep 30, 2020 | 1.52 Mn |
| Sep 30, 2019 | 4.42 Mn |
| Mar 31, 2018 | 104,000.00 |
| Dec 31, 2017 | 1.86 Mn |
| Mar 31, 2017 | 5.53 Mn |
| Dec 31, 2016 | 6.92 Mn |
| Dec 31, 2015 | 4.06 Mn |
| Mar 31, 2015 | 60,000.00 |
| Dec 31, 2014 | 5.16 Mn |
API Access
Lifetime Brands Current Taxes 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=current-taxes&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();