Lovesac (LOVE) Accumulated Expenses (2018 - 2026)
Lovesac's Accumulated Expenses came in at $44.18 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 21.1% from $36.49 million a year earlier and up 39.8% from the prior quarter.
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Analysis
Lovesac (LOVE) Accumulated Expenses (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lovesac's Accumulated Expenses was $38.79 million, down 25.4% from FY2025.
- Accumulated Expenses carries a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $51.99 million in FY2025 (+34.6%), $38.62 million in FY2024 (+52.0%), $25.42 million in FY2023 (-37.8%) and $40.86 million in FY2022 (+137.7%).
- The fiscal Q2 2027 figure represents the highest quarterly Accumulated Expenses since fiscal Q4 2025.
- Year-over-year, Accumulated Expenses increased in six of the last eight quarters, with growth averaging 6.9%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2023 (growth of 186.6%), and the weakest in fiscal Q1 2024 (a decline of 59.3%).
- Business Quant data shows LOVE's Accumulated Expenses at $31.6 million (Q1 2027), $38.79 million (Q4 2026) and $41.4 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SharkNinja | 25.34 Bn | 23.01 Bn | 860.34 Mn |
| 2 | Somnigroup International | 13.21 Bn | 12.76 Bn | 817.20 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn |
| 4 | Newell Brands | 2.26 Bn | 1.42 Bn | 812.00 Mn |
| 5 | Sonos | 2.10 Bn | 998.62 Mn | 189.31 Mn |
| 6 | Whirlpool | 1.98 Bn | -1.50 Bn | 442.00 Mn |
| 7 | Corsair Gaming | 1.50 Bn | 1.04 Bn | 104.29 Mn |
| 8 | Arhaus | 1.40 Bn | 477.18 Mn | 172.07 Mn |
| 9 | Millerknoll | 1.39 Bn | 748.41 Mn | 385.30 Mn |
| 10 | Lovesac | 215.90 Mn | -35.48 Mn | 110.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 44.18 Mn |
| May 3, 2026 | 31.60 Mn |
| Feb 1, 2026 | 38.79 Mn |
| Nov 2, 2025 | 41.40 Mn |
| Aug 3, 2025 | 36.49 Mn |
| May 4, 2025 | 42.45 Mn |
| Feb 2, 2025 | 51.99 Mn |
| Nov 3, 2024 | 39.84 Mn |
| Aug 4, 2024 | 35.84 Mn |
| May 5, 2024 | 36.40 Mn |
| Feb 4, 2024 | 38.62 Mn |
| Oct 29, 2023 | 31.14 Mn |
| Jul 30, 2023 | 24.98 Mn |
| Apr 30, 2023 | 16.27 Mn |
| Jan 29, 2023 | 25.42 Mn |
| Oct 30, 2022 | 34.66 Mn |
| Jul 31, 2022 | 30.77 Mn |
| May 1, 2022 | 39.93 Mn |
| Jan 30, 2022 | 40.86 Mn |
| Oct 31, 2021 | 23.43 Mn |
API Access
Lovesac Accumulated 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=accumulated-expenses&ticker=LOVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();