Lifetime Brands (LCUT) Cash & Equivalents (2010 - 2026)
Lifetime Brands (LCUT) posted Cash & Equivalents of $5.45 million for Q2 2026, down 54.7% from $12.05 million a year earlier and down 60.7% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Lifetime Brands' Cash & Equivalents came in at $4.27 million, up 45.7% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of -34.7% (FY2020 to FY2025).
- In prior years, Lifetime Brands' Cash & Equivalents was $2.93 million in FY2024 (-81.9%), $16.19 million in FY2023 (-31.4%), $23.6 million in FY2022 (-15.7%) and $27.98 million in FY2021 (-22.2%).
- Quarterly Cash & Equivalents has run from a low of $2.93 million in Q4 2024 to a high of $40.96 million in Q1 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 52.3%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q2 2025, with growth of 254.7%; the weakest was Q1 2024, with a decline of 88.7%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $13.86 million (Q1 2026), $4.27 million (Q4 2025) and $12.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 779.83 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | 112.00 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 105.00 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 209.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 206.89 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 192.24 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 226.40 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 178.60 Mn |
| 10 | Lifetime Brands | 209.66 Mn | 173.95 Mn | 93.24 Mn | 5.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.45 Mn |
| Mar 31, 2026 | 13.86 Mn |
| Dec 31, 2025 | 4.27 Mn |
| Sep 30, 2025 | 12.13 Mn |
| Jun 30, 2025 | 12.05 Mn |
| Mar 31, 2025 | 10.38 Mn |
| Dec 31, 2024 | 2.93 Mn |
| Sep 30, 2024 | 5.98 Mn |
| Jun 30, 2024 | 3.40 Mn |
| Mar 31, 2024 | 4.64 Mn |
| Dec 31, 2023 | 16.19 Mn |
| Sep 30, 2023 | 6.32 Mn |
| Jun 30, 2023 | 15.12 Mn |
| Mar 31, 2023 | 40.96 Mn |
| Dec 31, 2022 | 23.60 Mn |
| Sep 30, 2022 | 5.93 Mn |
| Jun 30, 2022 | 7.20 Mn |
| Mar 31, 2022 | 14.85 Mn |
| Dec 31, 2021 | 27.98 Mn |
| Sep 30, 2021 | 8.68 Mn |
API Access
Lifetime Brands Cash & Equivalents 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=cash-and-equivalents&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();