Lovesac (LOVE) Total Liabilities (2018 - 2026)
Lovesac's Total Liabilities was $329.01 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 11.1% from $296.25 million a year earlier and up 11.4% from the prior quarter.
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Analysis
Lovesac (LOVE) Total Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Total Liabilities at Lovesac came in at $315.98 million, unchanged from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 38.0% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $315.9 million in FY2025 (+19.3%), $264.68 million in FY2024 (+22.8%), $215.53 million in FY2023 (+2.0%) and $211.27 million in FY2022 (+235.0%).
- The fiscal Q2 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2018.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 8.4%.
- Across the past five years, year-over-year growth in Total Liabilities ran from 0.0% in fiscal Q4 2026 to 235.0% in fiscal Q4 2022.
- Per Business Quant data, LOVE's Total Liabilities in the three fiscal quarters before Q2 2027 was $295.44 million (Q1 2027), $315.98 million (Q4 2026) and $306.21 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 2.75 Bn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 8.38 Bn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 3.01 Bn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 8.61 Bn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 478.59 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 13.39 Bn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 551.41 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 2.65 Bn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 1.04 Bn |
| 10 | Lovesac | 217.06 Mn | -34.32 Mn | 110.27 Mn | 329.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 329.01 Mn |
| May 3, 2026 | 295.44 Mn |
| Feb 1, 2026 | 315.98 Mn |
| Nov 2, 2025 | 306.21 Mn |
| Aug 3, 2025 | 296.25 Mn |
| May 4, 2025 | 282.53 Mn |
| Feb 2, 2025 | 315.90 Mn |
| Nov 3, 2024 | 303.22 Mn |
| Aug 4, 2024 | 278.93 Mn |
| May 5, 2024 | 271.86 Mn |
| Feb 4, 2024 | 264.68 Mn |
| Oct 29, 2023 | 250.76 Mn |
| Jul 30, 2023 | 246.77 Mn |
| Apr 30, 2023 | 231.95 Mn |
| Jan 29, 2023 | 215.53 Mn |
| Oct 30, 2022 | 241.62 Mn |
| Jul 31, 2022 | 202.72 Mn |
| May 1, 2022 | 202.88 Mn |
| Jan 30, 2022 | 211.27 Mn |
| Oct 31, 2021 | 172.24 Mn |
API Access
Lovesac Total Liabilities 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=total-liabilities&ticker=LOVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();