Lifetime Brands (LCUT) Capital Expenditures (2010 - 2026)
Lifetime Brands' Capital Expenditures came in at $1.33 million for Q2 2026, up 13.6% from $1.17 million a year earlier but down 65.3% from the prior quarter.
Lifetime Brands (LCUT) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lifetime Brands reported Capital Expenditures of $6.78 million, up 75.1% year-over-year; for FY2025, it came in at $4.35 million, up 95.5% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $2.23 million in FY2024 (-20.5%), $2.8 million in FY2023 (-5.8%), $2.98 million in FY2022 (-25.4%) and $3.99 million in FY2021 (+91.5%).
- The five-year range for quarterly Capital Expenditures is $382,000 (Q1 2022) to $3.84 million (Q1 2026).
- Year-over-year, Capital Expenditures has increased for three consecutive quarters, with growth averaging 57.1% over the last eight quarters.
- The fastest year-over-year change in Capital Expenditures over five years came in Q3 2021 (growth of 226.0%), and the weakest in Q2 2023 (a decline of 56.1%).
- Business Quant data shows LCUT's Capital Expenditures at $3.84 million (Q1 2026), $1.13 million (Q4 2025) and $475,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.70 Bn | 23.37 Bn | 860.34 Mn | 49.14 Mn |
| 2 | Somnigroup International | 13.10 Bn | 12.64 Bn | 817.20 Mn | 54.70 Mn |
| 3 | Hni | 3.37 Bn | 2.94 Bn | 647.20 Mn | - |
| 4 | Newell Brands | 2.27 Bn | 1.42 Bn | 812.00 Mn | 47.00 Mn |
| 5 | Sonos | 2.11 Bn | 1.01 Bn | 189.31 Mn | 5.95 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 94.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 999.46 Mn | 104.29 Mn | 2.77 Mn |
| 8 | Millerknoll | 1.37 Bn | 735.34 Mn | 385.30 Mn | 32.50 Mn |
| 9 | Cricut | 1.34 Bn | 317.37 Mn | 116.41 Mn | 9.50 Mn |
| 10 | Lifetime Brands | 199.54 Mn | 163.84 Mn | 93.24 Mn | 1.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Mn |
| Mar 31, 2026 | 3.84 Mn |
| Dec 31, 2025 | 1.13 Mn |
| Sep 30, 2025 | 475,000.00 |
| Jun 30, 2025 | 1.17 Mn |
| Mar 31, 2025 | 1.57 Mn |
| Dec 31, 2024 | 623,000.00 |
| Sep 30, 2024 | 506,000.00 |
| Jun 30, 2024 | 498,000.00 |
| Mar 31, 2024 | 600,000.00 |
| Dec 31, 2023 | 1.04 Mn |
| Sep 30, 2023 | 772,000.00 |
| Jun 30, 2023 | 482,000.00 |
| Mar 31, 2023 | 511,000.00 |
| Dec 31, 2022 | 1.00 Mn |
| Sep 30, 2022 | 496,000.00 |
| Jun 30, 2022 | 1.10 Mn |
| Mar 31, 2022 | 382,000.00 |
| Dec 31, 2021 | 625,000.00 |
| Sep 30, 2021 | 864,000.00 |
Lifetime Brands Capital Expenditures 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=capital-expenditures&ticker=LCUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();