LightInTheBox Holding (LITB) Price to Earnings (2013 - 2026)
LightInTheBox Holding's Price to Earnings was 5.52 in the quarter ended Jun 30, 2026, up 0.8% from 5.48 a year earlier and up 34.2% from the prior quarter.
LightInTheBox Holding (LITB) Price to Earnings (2013 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Earnings at LightInTheBox Holding came in at 4.89.
- In earlier years, Price to Earnings was 8.70 in the year ended Dec 31, 2021 (-59.3%).
- Quarterly Price to Earnings has moved between 4.11 (the quarter ended Mar 31, 2026) and 54.75 (the quarter ended Jun 30, 2022) over five years.
- Per Business Quant data, LITB's Price to Earnings in the three quarters before the quarter ended Jun 30, 2026 was 4.11 (quarter ended Mar 31, 2026), 4.47 (quarter ended Dec 31, 2025) and 6.13 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn |
| 10 | LightInTheBox Holding | 51.01 Mn | -20.01 Mn | 37.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.52 |
| Mar 31, 2026 | 4.11 |
| Dec 31, 2025 | 4.47 |
| Sep 30, 2025 | 6.13 |
| Jun 30, 2025 | 5.48 |
| Mar 31, 2025 | 12.39 |
| Sep 30, 2022 | 15.90 |
| Jun 30, 2022 | 54.75 |
| Mar 31, 2022 | 6.29 |
| Dec 31, 2021 | 4.31 |
| Sep 30, 2021 | 16.97 |
| Jun 30, 2021 | 8.71 |
| Mar 31, 2021 | 15.76 |
| Dec 31, 2020 | 15.85 |
| Sep 30, 2020 | 4.02 |
| Jun 30, 2020 | 1.87 |
| Mar 31, 2020 | 2.76 |
| Dec 31, 2019 | 20.89 |
| Sep 30, 2013 | 91.01 |
LightInTheBox Holding Price to Earnings 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=price-to-earnings&ticker=LITB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=LITB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();