Lifetime Brands (LCUT) Inventory (2010 - 2026)
Lifetime Brands' Inventory came in at $197.07 million for Q2 2026, down 9.7% from $218.21 million a year earlier but up 3.6% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Lifetime Brands' Inventory was $194.05 million, down 4.1% from FY2024.
- Inventory carries a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- Going back by year, Inventory was $202.41 million in FY2024 (+7.3%), $188.65 million in FY2023 (-15.1%), $222.21 million in FY2022 (-17.9%) and $270.52 million in FY2021 (+33.2%).
- The five-year range for quarterly Inventory is $188.65 million (Q4 2023) to $295.14 million (Q2 2022).
- Year-over-year, Inventory has declined for four consecutive quarters, with growth averaging 0.2% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in Q2 2022 (growth of 35.3%), and the weakest in Q2 2023 (a decline of 28.0%).
- Business Quant data shows LCUT's Inventory at $190.3 million (Q1 2026), $194.05 million (Q4 2025) and $221.19 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.65 Bn | 23.31 Bn | 860.34 Mn | 1.14 Bn |
| 2 | Somnigroup International | 13.10 Bn | 12.65 Bn | 817.20 Mn | 649.80 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 498.80 Mn |
| 4 | Newell Brands | 2.32 Bn | 1.47 Bn | 812.00 Mn | 1.49 Bn |
| 5 | Sonos | 2.13 Bn | 1.02 Bn | 189.31 Mn | 158.14 Mn |
| 6 | Whirlpool | 2.04 Bn | -1.44 Bn | 442.00 Mn | 2.22 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 264.53 Mn |
| 8 | Millerknoll | 1.38 Bn | 756.09 Mn | 395.60 Mn | 488.40 Mn |
| 9 | Arhaus | 1.36 Bn | 443.23 Mn | 172.07 Mn | 353.53 Mn |
| 10 | Lifetime Brands | 211.96 Mn | 176.25 Mn | 93.24 Mn | 197.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 197.07 Mn |
| Mar 31, 2026 | 190.30 Mn |
| Dec 31, 2025 | 194.05 Mn |
| Sep 30, 2025 | 221.19 Mn |
| Jun 30, 2025 | 218.21 Mn |
| Mar 31, 2025 | 210.05 Mn |
| Dec 31, 2024 | 202.41 Mn |
| Sep 30, 2024 | 235.02 Mn |
| Jun 30, 2024 | 208.48 Mn |
| Mar 31, 2024 | 189.82 Mn |
| Dec 31, 2023 | 188.65 Mn |
| Sep 30, 2023 | 217.70 Mn |
| Jun 30, 2023 | 212.53 Mn |
| Mar 31, 2023 | 209.86 Mn |
| Dec 31, 2022 | 222.21 Mn |
| Sep 30, 2022 | 269.72 Mn |
| Jun 30, 2022 | 295.14 Mn |
| Mar 31, 2022 | 275.20 Mn |
| Dec 31, 2021 | 270.52 Mn |
| Sep 30, 2021 | 256.92 Mn |
API Access
Lifetime Brands Inventory 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=inventory&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();