LightInTheBox Holding (LITB) Accumulated Expenses (2012 - 2026)
LightInTheBox Holding (LITB) recorded Accumulated Expenses of $42.26 million in the quarter ended Jun 30, 2026, down 18.4% from $51.78 million a year earlier and down 1.8% from the prior quarter.
LightInTheBox Holding (LITB) Accumulated Expenses (2012 - 2026) Analysis & Trends
As of Dec 31, 2025, LightInTheBox Holding reported Accumulated Expenses of $48.96 million, down 9.5% from the prior year.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.3% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $54.09 million in the year ended Dec 31, 2024 (-42.8%), $94.62 million in the year ended Dec 31, 2023 (+4.7%), $90.36 million in the year ended Dec 31, 2022 (unchanged) and $90.36 million in the year ended Dec 31, 2021 (+56.3%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Accumulated Expenses since the quarter ended Dec 31, 2022.
- On a year-over-year basis, Accumulated Expenses has declined for ten consecutive quarters, with an average decline of 22.3% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 57.4% in the quarter ended Mar 31, 2023, against a decline of 43.6% in the quarter ended Sep 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $43.03 million (quarter ended Mar 31, 2026), $48.96 million (quarter ended Dec 31, 2025) and $47.4 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | LightInTheBox Holding | 52.28 Mn | -18.74 Mn | 37.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.26 Mn |
| Mar 31, 2026 | 43.03 Mn |
| Dec 31, 2025 | 48.96 Mn |
| Sep 30, 2025 | 47.40 Mn |
| Jun 30, 2025 | 51.78 Mn |
| Mar 31, 2025 | 51.05 Mn |
| Dec 31, 2024 | 54.09 Mn |
| Sep 30, 2024 | 54.22 Mn |
| Jun 30, 2024 | 61.89 Mn |
| Mar 31, 2024 | 63.47 Mn |
| Dec 31, 2023 | 94.62 Mn |
| Sep 30, 2023 | 96.16 Mn |
| Jun 30, 2023 | 94.67 Mn |
| Mar 31, 2023 | 81.46 Mn |
| Dec 31, 2022 | -95,000.00 |
| Sep 30, 2022 | 63.61 Mn |
| Jun 30, 2022 | 67.81 Mn |
| Mar 31, 2022 | 51.74 Mn |
| Dec 31, 2021 | 90.36 Mn |
| Sep 30, 2021 | 44.65 Mn |
LightInTheBox Holding Accumulated Expenses 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=accumulated-expenses&ticker=LITB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LITB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();