Lovesac (LOVE) EBITDA (2017 - 2026)
Lovesac (LOVE) recorded EBITDA of $15.15 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), compared with -$4.99 million a year earlier.
Lovesac (LOVE) EBITDA (2017 - 2026) Analysis & Trends
On a TTM basis, Lovesac's EBITDA came in at $38.87 million as of Aug 2, 2026, up 25.4% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $20.58 million, down 27.4% from FY2025.
- Annual EBITDA has declined for four straight fiscal years, with a five-year compound annual growth rate of -0.9% (FY2021 to FY2026).
- Across earlier fiscal years, EBITDA came in at $28.37 million in FY2025 (-33.6%), $42.71 million in FY2024 (-10.8%), $47.87 million in FY2023 (-1.3%) and $48.48 million in FY2022 (+125.6%).
- Quarterly EBITDA has ranged from -$14.35 million in fiscal Q1 2025 to $51.39 million in fiscal Q4 2025 over the past five years.
- Peak year-over-year performance for EBITDA in the last five years was growth of 37.5% in fiscal Q4 2023, against a decline of 81.9% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$13.19 million (Q1 2027), $48.71 million (Q4 2026) and -$11.8 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 25.37 Bn | 23.04 Bn | 860.34 Mn | 219.37 Mn |
| 2 | Somnigroup International | 13.07 Bn | 12.62 Bn | 817.20 Mn | 264.10 Mn |
| 3 | Hni | 3.27 Bn | 2.84 Bn | 647.20 Mn | 158.30 Mn |
| 4 | Newell Brands | 2.25 Bn | 1.41 Bn | 812.00 Mn | 361.00 Mn |
| 5 | Sonos | 2.12 Bn | 1.02 Bn | 189.31 Mn | 42.60 Mn |
| 6 | Whirlpool | 1.99 Bn | -1.49 Bn | 442.00 Mn | 249.00 Mn |
| 7 | Corsair Gaming | 1.46 Bn | 1.00 Bn | 104.29 Mn | 20.07 Mn |
| 8 | Millerknoll | 1.35 Bn | 714.71 Mn | 385.30 Mn | 86.90 Mn |
| 9 | Arhaus | 1.34 Bn | 420.59 Mn | 172.07 Mn | 76.17 Mn |
| 10 | Lovesac | 217.06 Mn | -34.32 Mn | 110.27 Mn | 15.15 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 15.15 Mn |
| May 3, 2026 | -13.19 Mn |
| Feb 1, 2026 | 48.71 Mn |
| Nov 2, 2025 | -11.80 Mn |
| Aug 3, 2025 | -4.99 Mn |
| May 4, 2025 | -11.34 Mn |
| Feb 2, 2025 | 51.39 Mn |
| Nov 3, 2024 | -4.06 Mn |
| Aug 4, 2024 | -4.62 Mn |
| May 5, 2024 | -14.35 Mn |
| Feb 4, 2024 | 43.87 Mn |
| Oct 29, 2023 | -298,000.00 |
| Jul 30, 2023 | 2.02 Mn |
| Apr 30, 2023 | -2.88 Mn |
| Jan 29, 2023 | 39.18 Mn |
| Oct 30, 2022 | -7.66 Mn |
| Jul 31, 2022 | 11.19 Mn |
| May 1, 2022 | 5.16 Mn |
| Jan 30, 2022 | 28.50 Mn |
| Oct 31, 2021 | 4.71 Mn |
Lovesac EBITDA 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=ebitda&ticker=LOVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LOVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();