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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Service Corp International | 9.97 Bn | 9.03 Bn | 272.27 Mn | 30.59 Mn |
| 2 | New Oriental Education & Technology | 8.46 Bn | -2.92 Bn | 20,000.00 | 1.50 Bn |
| 3 | TAL Education | 5.81 Bn | -6.67 Bn | 594.64 Mn | 358.78 Mn |
| 4 | Graham Holdings | 5.18 Bn | 242.56 Mn | 392.25 Mn | 1.24 Bn |
| 5 | Laureate Education | 4.80 Bn | 4.15 Bn | 131.69 Mn | 12.57 Mn |
| 6 | Valvoline | 4.60 Bn | 4.31 Bn | 214.90 Mn | 103.10 Mn |
| 7 | Covista | 3.87 Bn | 3.04 Bn | 290.78 Mn | 413.51 Mn |
| 8 | Onespaworld Holdings | 3.31 Bn | 3.20 Bn | 49.70 Mn | 246.58 Mn |
| 9 | Stride | 3.15 Bn | -28.96 Mn | 241.12 Mn | 156.85 Mn |
| 10 | Lixiang Education Holding | 2.57 Mn | -61.80 Mn | - | - |
Historic Data
Download Data
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 | -636,259.35 |
| Sep 30, 2019 | 368,387.93 |
API Access
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_KEYimport 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();