Li Bang International (LBGJ) Accumulated Expenses (2023 - 2025)
Li Bang International (LBGJ) reported Accumulated Expenses of $800,096 for the quarter ended Dec 31, 2025, down 100.0% from $761.99 billion a year earlier.
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Analysis
Li Bang International (LBGJ) Accumulated Expenses (2023 - 2025) Analysis & Trends
Dating back to the quarter ended Jun 30, 2023, Li Bang International's Accumulated Expenses record includes 5 quarters.
- By year, Accumulated Expenses came in at $755.1 billion in the year ended Jun 30, 2024 (unchanged) and $755.1 billion in the year ended Jun 30, 2023.
- Five-year quarterly Accumulated Expenses spans a low of $800,096 in the quarter ended Jun 30, 2025 and a high of $761.99 billion in the quarter ended Dec 31, 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 333.44 Bn | 305.14 Bn | 7.76 Bn |
| 2 | Amphenol | 194.78 Bn | 189.37 Bn | 3.55 Bn |
| 3 | Deere | 171.26 Bn | 139.36 Bn | 4.66 Bn |
| 4 | Eaton | 148.27 Bn | 145.46 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.32 Bn | 117.44 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.19 Bn | 81.93 Bn | 2.66 Bn |
| 7 | 3M | 88.45 Bn | 69.85 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 78.66 Bn | 69.28 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 78.18 Bn | 74.73 Bn | 1.90 Bn |
| 10 | Li Bang International | 1,427.13 | -3.30 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 65,589.00 |
| Dec 31, 2024 | 90,651.00 |
| Jun 30, 2024 | 72,079.00 |
| Jun 30, 2023 | 74,777.00 |
API Access
Li Bang International 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=LBGJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LBGJ", "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=LBGJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();