LightInTheBox Holding (LITB) Inventory (2012 - 2026)
LightInTheBox Holding's Inventory was $5.51 million in the quarter ended Jun 30, 2026, up 23.3% from $4.47 million a year earlier and up 15.4% from the prior quarter.
LightInTheBox Holding (LITB) Inventory (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, Inventory at LightInTheBox Holding came in at $4.94 million, up 35.8% from the prior year.
- Inventory shows a five-year compound annual growth rate of -13.0% (years ended Dec 2020 to Dec 2025).
- In earlier years, Inventory was $3.64 million in the year ended Dec 31, 2024 (-36.9%), $5.77 million in the year ended Dec 31, 2023 (-59.6%), $14.26 million in the year ended Dec 31, 2022 (+18.9%) and $12 million in the year ended Dec 31, 2021 (+20.9%).
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Inventory since the quarter ended Dec 31, 2023.
- Compared with a year earlier, Inventory has increased for four straight quarters, with growth averaging 0.6% over the last eight quarters.
- The best year-over-year quarter for Inventory over five years was the quarter ended Dec 31, 2025 (growth of 35.8%); the worst was the quarter ended Dec 31, 2023 (a decline of 59.6%).
- Per Business Quant data, LITB's Inventory in the three quarters before the quarter ended Jun 30, 2026 was $4.78 million (quarter ended Mar 31, 2026), $4.94 million (quarter ended Dec 31, 2025) and $4.99 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 38.18 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 26.85 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 7.86 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 17.74 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 3.09 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 13.25 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 5.97 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 3.26 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | - |
| 10 | LightInTheBox Holding | 54.08 Mn | -16.94 Mn | 37.57 Mn | 5.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.51 Mn |
| Mar 31, 2026 | 4.78 Mn |
| Dec 31, 2025 | 4.94 Mn |
| Sep 30, 2025 | 4.99 Mn |
| Jun 30, 2025 | 4.47 Mn |
| Mar 31, 2025 | 4.19 Mn |
| Dec 31, 2024 | 3.64 Mn |
| Sep 30, 2024 | 4.09 Mn |
| Jun 30, 2024 | 4.48 Mn |
| Mar 31, 2024 | 4.58 Mn |
| Dec 31, 2023 | 5.77 Mn |
| Sep 30, 2023 | 7.35 Mn |
| Jun 30, 2023 | 9.43 Mn |
| Mar 31, 2023 | 10.97 Mn |
| Dec 31, 2022 | 14.26 Mn |
| Sep 30, 2022 | 11.25 Mn |
| Jun 30, 2022 | 11.06 Mn |
| Mar 31, 2022 | 11.24 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 11.16 Mn |
LightInTheBox Holding Inventory 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=inventory&ticker=LITB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=LITB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();