Lifetime Brands (LCUT) Total Non-Current Liabilities (2010 - 2026)
Lifetime Brands (LCUT) posted Total Non-Current Liabilities of $385.85 million for Q2 2026, up 10.2% from $350.16 million a year earlier and up 21.8% from the prior quarter.
Lifetime Brands (LCUT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Lifetime Brands' Total Non-Current Liabilities came in at $356.02 million, down 8.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 49.0% (FY2020 to FY2025).
- In prior years, Lifetime Brands' Total Non-Current Liabilities was $388.43 million in FY2024, $13.93 million in FY2023 (-85.4%), $95.07 million in FY2022 (+64.6%) and $57.75 million in FY2021 (+19.3%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q4 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in 1 of the last seven quarters, with an average decline of 12.3%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2023, with growth of 79.2%; the weakest was Q4 2023, with a decline of 85.4%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $316.81 million (Q1 2026), $356.02 million (Q4 2025) and $380.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 2.70 Bn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | 8.25 Bn |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 2.82 Bn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 7.88 Bn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 475.62 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 8.39 Bn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 1.03 Bn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 500.41 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 2.47 Bn |
| 10 | Lifetime Brands | 180.78 Mn | 145.08 Mn | 93.24 Mn | 385.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 385.17 Mn |
| Mar 31, 2026 | 316.13 Mn |
| Dec 31, 2025 | 355.33 Mn |
| Sep 30, 2025 | 380.05 Mn |
| Jun 30, 2025 | 349.46 Mn |
| Mar 31, 2025 | 352.19 Mn |
| Dec 31, 2024 | 387.73 Mn |
| Sep 30, 2024 | 432.17 Mn |
| Jun 30, 2024 | 382.27 Mn |
| Mar 31, 2024 | 368.22 Mn |
| Dec 31, 2023 | 425.64 Mn |
| Sep 30, 2023 | 901.70 Mn |
| Jun 30, 2023 | 871.87 Mn |
| Mar 31, 2023 | 461.14 Mn |
| Dec 31, 2022 | 469.21 Mn |
| Sep 30, 2022 | 502.50 Mn |
| Jun 30, 2022 | 514.22 Mn |
| Mar 31, 2022 | 506.02 Mn |
| Dec 31, 2021 | 559.84 Mn |
| Sep 30, 2021 | 537.61 Mn |
Lifetime Brands Total Non-Current 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-non-current-liabilities&ticker=LCUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();