Luda Technology (LUD) Total Liabilities (2023 - 2025)
Luda Technology's Total Liabilities came in at $26.92 million for the quarter ended Dec 31, 2025, up 1.0% from $26.64 million a year earlier.
Luda Technology (LUD) Total Liabilities (2023 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2023, Luda Technology's Total Liabilities data covers 4 quarters.
- Total Liabilities carries a three-year compound annual growth rate of 2.4% (years ended Dec 2022 to Dec 2025).
- Going back by year, Total Liabilities was $26.64 million in the year ended Dec 31, 2024 (-11.0%), $29.95 million in the year ended Dec 31, 2023 (+19.3%) and $25.1 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 represents the highest quarterly Total Liabilities since the quarter ended Dec 31, 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 341.14 Bn | 312.83 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 196.70 Bn | 191.28 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 170.38 Bn | 138.47 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 153.53 Bn | 150.72 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 121.59 Bn | 119.72 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 91.96 Bn | 84.70 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 89.65 Bn | 71.09 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 82.39 Bn | 73.01 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 79.47 Bn | 76.02 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Luda Technology | 84.52 Mn | 38.87 Mn | - | 26.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 26.92 Mn |
| Jun 30, 2025 | 26.24 Mn |
| Dec 31, 2024 | 26.64 Mn |
| Dec 31, 2023 | 29.95 Mn |
Luda Technology Total Liabilities 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=total-liabilities&ticker=LUD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LUD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=LUD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();