Lifetime Brands (LCUT) Property, Plant & Equipment (Net) (2010 - 2026)
Lifetime Brands' Property, Plant & Equipment (Net) was $23.81 million in Q2 2026, up 49.3% from $15.95 million a year earlier and up 30.4% from the prior quarter.
Lifetime Brands (LCUT) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Lifetime Brands came in at $15.44 million, up 2.6% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -7.8% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $15.05 million in FY2024 (-11.3%), $16.97 million in FY2023 (-5.8%), $18.02 million in FY2022 (-13.1%) and $20.75 million in FY2021 (-10.3%).
- The Q2 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2020.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q2 2026 (growth of 49.3%); the worst was Q3 2022 (a decline of 18.0%).
- Per Business Quant data, LCUT's Property, Plant & Equipment (Net) in the three quarters before Q2 2026 was $18.26 million (Q1 2026), $15.44 million (Q4 2025) and $15.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 251.26 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | 1.01 Bn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 1.02 Bn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 1.18 Bn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 60.14 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 2.23 Bn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 30.37 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 331.04 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 515.40 Mn |
| 10 | Lifetime Brands | 209.66 Mn | 173.95 Mn | 93.24 Mn | 23.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.81 Mn |
| Mar 31, 2026 | 18.26 Mn |
| Dec 31, 2025 | 15.44 Mn |
| Sep 30, 2025 | 15.27 Mn |
| Jun 30, 2025 | 15.95 Mn |
| Mar 31, 2025 | 15.48 Mn |
| Dec 31, 2024 | 15.05 Mn |
| Sep 30, 2024 | 16.56 Mn |
| Jun 30, 2024 | 15.69 Mn |
| Mar 31, 2024 | 16.36 Mn |
| Dec 31, 2023 | 16.97 Mn |
| Sep 30, 2023 | 16.82 Mn |
| Jun 30, 2023 | 17.42 Mn |
| Mar 31, 2023 | 18.08 Mn |
| Dec 31, 2022 | 18.02 Mn |
| Sep 30, 2022 | 17.74 Mn |
| Jun 30, 2022 | 18.74 Mn |
| Mar 31, 2022 | 19.53 Mn |
| Dec 31, 2021 | 20.75 Mn |
| Sep 30, 2021 | 21.63 Mn |
Lifetime Brands Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LCUT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();