LightInTheBox Holding (LITB) Operating Leases (2018 - 2026)
LightInTheBox Holding's Operating Leases was $1.9 million in the quarter ended Jun 30, 2026, down 53.9% from $4.13 million a year earlier and down 13.9% from the prior quarter.
LightInTheBox Holding (LITB) Operating Leases (2018 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at LightInTheBox Holding came in at $2.82 million, down 30.4% from the prior year.
- Operating Leases shows a five-year compound annual growth rate of -8.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Operating Leases was $4.05 million in the year ended Dec 31, 2024 (-19.8%), $5.05 million in the year ended Dec 31, 2023 (+1.1%), $4.99 million in the year ended Dec 31, 2022 (+32.0%) and $3.78 million in the year ended Dec 31, 2021 (-11.4%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Operating Leases since the quarter ended Jun 30, 2019.
- Compared with a year earlier, Operating Leases has declined for three straight quarters, with an average decline of 20.0% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Sep 30, 2022 (growth of 65.1%); the worst was the quarter ended Sep 30, 2024 (a decline of 54.2%).
- Per Business Quant data, LITB's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $2.21 million (quarter ended Mar 31, 2026), $2.82 million (quarter ended Dec 31, 2025) and $3.49 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | LightInTheBox Holding | 54.08 Mn | -16.94 Mn | 37.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.90 Mn |
| Mar 31, 2026 | 2.21 Mn |
| Dec 31, 2025 | 2.82 Mn |
| Sep 30, 2025 | 3.49 Mn |
| Jun 30, 2025 | 4.13 Mn |
| Mar 31, 2025 | 4.18 Mn |
| Dec 31, 2024 | 4.05 Mn |
| Sep 30, 2024 | 2.38 Mn |
| Jun 30, 2024 | 4.05 Mn |
| Mar 31, 2024 | 4.29 Mn |
| Dec 31, 2023 | 5.05 Mn |
| Sep 30, 2023 | 5.21 Mn |
| Jun 30, 2023 | 5.18 Mn |
| Mar 31, 2023 | 5.28 Mn |
| Dec 31, 2022 | 4.99 Mn |
| Sep 30, 2022 | 4.86 Mn |
| Jun 30, 2022 | 4.50 Mn |
| Mar 31, 2022 | 4.52 Mn |
| Dec 31, 2021 | 3.78 Mn |
| Sep 30, 2021 | 2.94 Mn |
LightInTheBox Holding Operating Leases 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-leases&ticker=LITB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "LITB", "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-leases&ticker=LITB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();