Mingteng International (MTEN) Accumulated Expenses (2022 - 2025)
Mingteng International (MTEN) recorded Accumulated Expenses of $2.15 million in the quarter ended Dec 31, 2025, up 46.7% from $1.47 million a year earlier.
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Analysis
Mingteng International (MTEN) Accumulated Expenses (2022 - 2025) Analysis & Trends
Starting with the quarter ended Dec 31, 2022, Mingteng International's Accumulated Expenses history includes 6 quarters.
- Annual Accumulated Expenses has increased for three straight years, with a three-year compound annual growth rate of 81.8% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Accumulated Expenses came in at $1.47 million in the year ended Dec 31, 2024 (+40.8%), $1.04 million in the year ended Dec 31, 2023 (+191.0%) and $358,102 in the year ended Dec 31, 2022.
- Quarterly Accumulated Expenses has ranged from $341,979 in the quarter ended Dec 31, 2023 to $2.27 million in the quarter ended Jun 30, 2025 over the past five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Mingteng International | 113,964.60 | -6.73 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.15 Mn |
| Jun 30, 2025 | 2.27 Mn |
| Dec 31, 2024 | 1.47 Mn |
| Jun 30, 2024 | 465,572.00 |
| Dec 31, 2023 | 341,979.17 |
| Dec 31, 2022 | 342,988.26 |
API Access
Mingteng 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=MTEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "MTEN", "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=MTEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();