Intelligent Living Application (ILAG) Short term Debt (2021 - 2025)
Intelligent Living Application (ILAG) reported Short term Debt of $1.42 million for the quarter ended Dec 31, 2025, up 731.1% from $170,726 a year earlier.
Intelligent Living Application (ILAG) Short term Debt (2021 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2021, Intelligent Living Application's Short term Debt record includes 6 quarters.
- Short term Debt has a four-year compound annual growth rate of 16.8% (years ended Dec 2021 to Dec 2025).
- By year, Short term Debt came in at $170,726 in the year ended Dec 31, 2024 (+31.6%), $129,722 in the year ended Dec 31, 2023 (-35.5%), $201,222 in the year ended Dec 31, 2022 (-73.6%) and $762,826 in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn |
| 10 | Intelligent Living Application | 5.77 Mn | -7.63 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.42 Mn |
| Dec 31, 2024 | 170,726.00 |
| Jun 30, 2024 | 1.07 Mn |
| Dec 31, 2023 | 129,722.00 |
| Dec 31, 2022 | 201,222.00 |
| Dec 31, 2021 | 762,826.00 |
Intelligent Living Application Short term Debt 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=short-term-debt&ticker=ILAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt", "ticker": "ILAG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();