Lovesac (LOVE) Operating Expenses (2017 - 2026)
Lovesac (LOVE) posted Operating Expenses of $99.33 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), down 0.1% from $99.43 million a year earlier but up 11.2% from the prior quarter.
Lovesac (LOVE) Operating Expenses (2017 - 2026) Analysis & Trends
For the trailing twelve months through Aug 2, 2026, Operating Expenses at Lovesac was $387.77 million, up 1.4% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $387.85 million, up 1.0% from FY2025.
- Annual Operating Expenses has increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- In prior fiscal years, Lovesac's Operating Expenses was $384.19 million in FY2025 (+3.6%), $370.97 million in FY2024 (+21.0%), $306.69 million in FY2023 (+31.7%) and $232.95 million in FY2022 (+45.7%).
- Quarterly Operating Expenses has run from a low of $55.65 million in fiscal Q3 2022 to a high of $109.25 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in three of the last eight quarters, with an average decline of 0.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2022, with growth of 56.4%; the weakest was fiscal Q4 2025, with a decline of 10.1%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $89.35 million (Q1 2027), $99.06 million (Q4 2026) and $100.04 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | - |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 96.68 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 333.50 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 117.81 Mn |
| 10 | Lovesac | 217.06 Mn | -34.32 Mn | 110.27 Mn | 99.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 99.33 Mn |
| May 3, 2026 | 89.35 Mn |
| Feb 1, 2026 | 99.06 Mn |
| Nov 2, 2025 | 100.04 Mn |
| Aug 3, 2025 | 99.43 Mn |
| May 4, 2025 | 89.32 Mn |
| Feb 2, 2025 | 98.18 Mn |
| Nov 3, 2024 | 95.36 Mn |
| Aug 4, 2024 | 100.74 Mn |
| May 5, 2024 | 89.90 Mn |
| Feb 4, 2024 | 109.25 Mn |
| Oct 29, 2023 | 92.05 Mn |
| Jul 30, 2023 | 93.38 Mn |
| Apr 30, 2023 | 76.28 Mn |
| Jan 29, 2023 | 97.20 Mn |
| Oct 30, 2022 | 75.03 Mn |
| Jul 31, 2022 | 70.98 Mn |
| May 1, 2022 | 63.48 Mn |
| Jan 30, 2022 | 83.47 Mn |
| Oct 31, 2021 | 55.65 Mn |
Lovesac Operating Expenses 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=operating-expenses&ticker=LOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LOVE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=LOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();