Lovesac (LOVE) Cash & Equivalents (2017 - 2026)
Lovesac (LOVE) reported Cash & Equivalents of $68.8 million for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 101.2% from $34.19 million a year earlier and up 20.7% from the prior quarter.
Lovesac (LOVE) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Lovesac posted Cash & Equivalents of $101.85 million, up 21.6% from FY2025.
- Cash & Equivalents has a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- By fiscal year, Cash & Equivalents came in at $83.73 million in FY2025 (-3.8%), $87.04 million in FY2024 (+99.9%), $43.53 million in FY2023 (-52.9%) and $92.39 million in FY2022 (+17.9%).
- Five-year quarterly Cash & Equivalents spans a low of $3.83 million in fiscal Q3 2023 and a high of $101.85 million in fiscal Q4 2026.
- Year over year, Cash & Equivalents has now increased in each of the last three quarters, with growth averaging 14.7% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q3 2024 (growth of 884.8%); the low point was fiscal Q3 2023 (a decline of 92.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $57 million (Q1 2027), $101.85 million (Q4 2026) and $23.72 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.73 Bn | 23.40 Bn | 860.34 Mn | 779.83 Mn |
| 2 | Somnigroup International | 13.04 Bn | 12.59 Bn | 817.20 Mn | 112.00 Mn |
| 3 | Hni | 3.38 Bn | 2.95 Bn | 647.20 Mn | 105.00 Mn |
| 4 | Newell Brands | 2.30 Bn | 1.46 Bn | 812.00 Mn | 209.00 Mn |
| 5 | Sonos | 2.09 Bn | 992.71 Mn | 189.31 Mn | 206.89 Mn |
| 6 | Whirlpool | 1.97 Bn | -1.51 Bn | 442.00 Mn | 1.24 Bn |
| 7 | Corsair Gaming | 1.49 Bn | 1.04 Bn | 104.29 Mn | 192.24 Mn |
| 8 | Arhaus | 1.45 Bn | 529.52 Mn | 172.07 Mn | 226.40 Mn |
| 9 | Millerknoll | 1.39 Bn | 754.60 Mn | 385.30 Mn | 178.60 Mn |
| 10 | Lovesac | 212.01 Mn | -39.37 Mn | 110.27 Mn | 68.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 68.80 Mn |
| May 3, 2026 | 57.00 Mn |
| Feb 1, 2026 | 101.85 Mn |
| Nov 2, 2025 | 23.72 Mn |
| Aug 3, 2025 | 34.19 Mn |
| May 4, 2025 | 26.90 Mn |
| Feb 2, 2025 | 83.73 Mn |
| Nov 3, 2024 | 61.69 Mn |
| Aug 4, 2024 | 72.13 Mn |
| May 5, 2024 | 72.36 Mn |
| Feb 4, 2024 | 87.04 Mn |
| Oct 29, 2023 | 37.74 Mn |
| Jul 30, 2023 | 54.72 Mn |
| Apr 30, 2023 | 45.13 Mn |
| Jan 29, 2023 | 43.53 Mn |
| Oct 30, 2022 | 3.83 Mn |
| Jul 31, 2022 | 17.65 Mn |
| May 1, 2022 | 64.38 Mn |
| Jan 30, 2022 | 92.39 Mn |
| Oct 31, 2021 | 47.86 Mn |
Lovesac Cash & Equivalents 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=cash-and-equivalents&ticker=LOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=LOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();