Lifetime Brands (LCUT) Return on Sales [ROS] (2010 - 2026)
Lifetime Brands (LCUT) recorded Return on Sales [ROS] of 22.34% in Q2 2026, up 50.56 percentage points from -28.22% a year earlier and up 23.89 percentage points from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Lifetime Brands' Return on Sales [ROS] came in at 8.48% as of Jun 30, 2026, up 10.27 percentage points year-over-year; for FY2025, it was -1.46%, down 5.42 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -1.50 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 3.97% in FY2024 (+5.55 pp), -1.58% in FY2023 (-1.38 pp), -0.21% in FY2022 (-2.00 pp) and 1.79% in FY2021 (+1.75 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] rose in two of the last eight quarters, with an average year-over-year change of +2.19 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 50.56 percentage points in Q2 2026, against a drop of 29.04 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -1.55% (Q1 2026), 9.79% (Q4 2025) and 3.89% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 10.16% |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | 11.06% |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 6.26% |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 14.19% |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 8.40% |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 4.63% |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 2.42% |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 14.10% |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 5.61% |
| 10 | Lifetime Brands | 209.66 Mn | 173.95 Mn | 93.24 Mn | 22.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.34% |
| Mar 31, 2026 | -1.55% |
| Dec 31, 2025 | 9.79% |
| Sep 30, 2025 | 3.89% |
| Jun 30, 2025 | -28.22% |
| Mar 31, 2025 | 0.78% |
| Dec 31, 2024 | 7.19% |
| Sep 30, 2024 | 4.69% |
| Jun 30, 2024 | 0.82% |
| Mar 31, 2024 | 1.29% |
| Dec 31, 2023 | 7.75% |
| Sep 30, 2023 | 7.10% |
| Jun 30, 2023 | 3.00% |
| Mar 31, 2023 | -1.24% |
| Dec 31, 2022 | 6.17% |
| Sep 30, 2022 | 4.07% |
| Jun 30, 2022 | -0.31% |
| Mar 31, 2022 | 2.38% |
| Dec 31, 2021 | 3.48% |
| Sep 30, 2021 | 9.65% |
API Access
Lifetime Brands Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();