Lixiang Education Holding (LXEH) Operating Expenses (2019 - 2020)
Lixiang Education Holding (LXEH) posted Operating Expenses of -$3.5 million for the year ended Dec 31, 2025, compared with -$3.14 million a year earlier.
Lixiang Education Holding (LXEH) Operating Expenses (2019 - 2020) Analysis & Trends
Since the year ended Dec 31, 2018, Lixiang Education Holding has reported Operating Expenses for 8 years.
- Annual Operating Expenses has run from a low of -$15.96 million in the year ended Dec 31, 2023 to a high of $2.88 million in the year ended Dec 31, 2021 over five years.
- Business Quant data shows LXEH's Operating Expenses at -$3.14 million in the year ended Dec 31, 2024, -$15.96 million in the year ended Dec 31, 2023, -$7.44 million in the year ended Dec 31, 2022 and $2.88 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 10.40 Bn | 9.40 Bn | 273.50 Mn | 41.78 Mn |
| 2 | New Oriental Education & Technology | 8.60 Bn | -6.17 Bn | 812.22 Mn | 1.44 Bn |
| 3 | Laureate Education | 5.26 Bn | 4.55 Bn | 237.67 Mn | 14.24 Mn |
| 4 | Graham Holdings | 4.84 Bn | -29.42 Mn | 392.03 Mn | 1.22 Bn |
| 5 | Covista | 4.16 Bn | 3.29 Bn | 284.63 Mn | 405.94 Mn |
| 6 | Valvoline | 3.85 Bn | 3.56 Bn | 214.90 Mn | 103.10 Mn |
| 7 | Stride | 3.23 Bn | 123.52 Mn | 217.28 Mn | 111.43 Mn |
| 8 | Bright Horizons Family Solutions | 3.14 Bn | 2.59 Bn | 188.96 Mn | 108.00 Mn |
| 9 | TAL Education | 2.30 Bn | -11.64 Bn | 438.20 Mn | 301.00 Mn |
| 10 | Lixiang Education Holding | 18.90 Mn | -45.63 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2020 | 229,667.14 |
| Sep 30, 2020 | -631,169.00 |
| Jun 30, 2020 | -785,240.85 |
| Dec 31, 2019 | 1.24 Mn |
| Sep 30, 2019 | -368,387.93 |
Lixiang Education Holding Operating 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=operating-expenses&ticker=LXEH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "LXEH", "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-expenses&ticker=LXEH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();