Lifetime Brands (LCUT) Selling, General & Administrative (2010 - 2026)
Lifetime Brands (LCUT) reported Selling, General & Administrative of $39.54 million for Q2 2026, up 5.5% from $37.5 million a year earlier and up 7.5% from the prior quarter.
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Analysis
Lifetime Brands (LCUT) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lifetime Brands' Selling, General & Administrative came in at $149.8 million, down 0.7% year-over-year; for FY2025, it was $142.44 million, down 10.9% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $159.81 million in FY2024 (+4.7%), $152.65 million in FY2023 (-1.2%), $154.55 million in FY2022 (-1.2%) and $156.45 million in FY2021 (+0.4%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q4 2024.
- Year over year, Selling, General & Administrative gained in three of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2026 (growth of 16.9%); the low point was Q1 2025 (a decline of 20.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $36.79 million (Q1 2026), $37.99 million (Q4 2025) and $35.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 130.11 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | - |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 533.00 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 519.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 30.28 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 371.00 Mn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 81.23 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 117.81 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 302.50 Mn |
| 10 | Lifetime Brands | 209.66 Mn | 173.95 Mn | 93.24 Mn | 39.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.54 Mn |
| Mar 31, 2026 | 36.79 Mn |
| Dec 31, 2025 | 37.99 Mn |
| Sep 30, 2025 | 35.49 Mn |
| Jun 30, 2025 | 37.50 Mn |
| Mar 31, 2025 | 31.47 Mn |
| Dec 31, 2024 | 43.17 Mn |
| Sep 30, 2024 | 38.77 Mn |
| Jun 30, 2024 | 38.33 Mn |
| Mar 31, 2024 | 39.54 Mn |
| Dec 31, 2023 | 38.66 Mn |
| Sep 30, 2023 | 40.21 Mn |
| Jun 30, 2023 | 35.86 Mn |
| Mar 31, 2023 | 37.91 Mn |
| Dec 31, 2022 | 40.34 Mn |
| Sep 30, 2022 | 36.46 Mn |
| Jun 30, 2022 | 38.26 Mn |
| Mar 31, 2022 | 39.49 Mn |
| Dec 31, 2021 | 40.07 Mn |
| Sep 30, 2021 | 42.04 Mn |
API Access
Lifetime Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=LCUT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LCUT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();