Intelligent Living Application (ILAG) Debt Ratio (2021 - 2025)
Intelligent Living Application's Debt Ratio was 0.19 in the quarter ended Dec 31, 2025, up 540.0% from 0.03 a year earlier.
Analysis
Intelligent Living Application (ILAG) Debt Ratio (2021 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2021 onward, Intelligent Living Application has reported Debt Ratio for 6 quarters.
- In earlier years, Debt Ratio was 0.03 in the year ended Dec 31, 2024 (+14.5%), 0.03 in the year ended Dec 31, 2023 (-10.6%), 0.03 in the year ended Dec 31, 2022 (-79.0%) and 0.14 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 0.19 |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn | 0.24 |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn | 0.01 |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn | 0.32 |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn | 0.76 |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn | 0.32 |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn | 0.60 |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn | 0.38 |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn | 0.46 |
| 10 | Intelligent Living Application | 5.77 Mn | -7.63 Mn | - | 0.19 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.19 |
| Dec 31, 2024 | 0.03 |
| Jun 30, 2024 | 0.10 |
| Dec 31, 2023 | 0.03 |
| Dec 31, 2022 | 0.03 |
| Dec 31, 2021 | 0.14 |
API Access
Intelligent Living Application Debt Ratio 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=debt-ratio&ticker=ILAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();