Lifetime Brands (LCUT) Total Liabilities (2010 - 2026)
Lifetime Brands (LCUT) reported Total Liabilities of $399.52 million for Q2 2026, up 9.1% from $366.11 million a year earlier and up 20.9% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lifetime Brands posted Total Liabilities of $370.28 million, down 8.4% from FY2024.
- Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -8.5% (FY2020 to FY2025).
- By year, Total Liabilities came in at $404.39 million in FY2024 (-7.3%), $436.26 million in FY2023 (-10.2%), $485.8 million in FY2022 (-15.3%) and $573.43 million in FY2021 (-0.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q4 2024.
- Year over year, Total Liabilities gained in 1 of the last eight quarters, with an average decline of 11.3%.
- The high point for year-over-year Total Liabilities in five years was Q3 2023 (growth of 76.3%); the low point was Q2 2024 (a decline of 55.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $330.37 million (Q1 2026), $370.28 million (Q4 2025) and $396.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.10 Bn | 25.76 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.42 Bn | 12.96 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.31 Bn | 2.88 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.42 Bn | 1.58 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.06 Bn | 962.88 Mn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.82 Bn | -1.65 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Arhaus | 1.52 Bn | 596.72 Mn | 172.07 Mn | 1.04 Bn |
| 8 | Millerknoll | 1.47 Bn | 771.78 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Corsair Gaming | 1.41 Bn | 938.61 Mn | 104.29 Mn | 551.41 Mn |
| 10 | Lifetime Brands | 179.79 Mn | 144.09 Mn | 93.24 Mn | 399.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 399.52 Mn |
| Mar 31, 2026 | 330.37 Mn |
| Dec 31, 2025 | 370.28 Mn |
| Sep 30, 2025 | 396.48 Mn |
| Jun 30, 2025 | 366.11 Mn |
| Mar 31, 2025 | 368.92 Mn |
| Dec 31, 2024 | 404.39 Mn |
| Sep 30, 2024 | 447.82 Mn |
| Jun 30, 2024 | 397.16 Mn |
| Mar 31, 2024 | 378.97 Mn |
| Dec 31, 2023 | 436.26 Mn |
| Sep 30, 2023 | 918.09 Mn |
| Jun 30, 2023 | 888.29 Mn |
| Mar 31, 2023 | 477.67 Mn |
| Dec 31, 2022 | 485.80 Mn |
| Sep 30, 2022 | 520.63 Mn |
| Jun 30, 2022 | 527.32 Mn |
| Mar 31, 2022 | 519.18 Mn |
| Dec 31, 2021 | 573.43 Mn |
| Sep 30, 2021 | 553.83 Mn |
API Access
Lifetime Brands Total Liabilities 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=total-liabilities&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();