Intelligent Living Application (ILAG) Market Capitalization (2022 - 2025)
Intelligent Living Application (ILAG) posted Market Capitalization of $8.41 million for the quarter ended Dec 31, 2025, down 49.4% from $16.63 million a year earlier.
Intelligent Living Application (ILAG) Market Capitalization (2022 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2022, Intelligent Living Application has reported Market Capitalization for 5 quarters.
- Annual Market Capitalization shows a three-year compound annual growth rate of -19.1% (years ended Dec 2022 to Dec 2025).
- In prior years, Intelligent Living Application's Market Capitalization was $16.63 million in the year ended Dec 31, 2024 (+27.0%), $13.09 million in the year ended Dec 31, 2023 (-17.6%) and $15.89 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 stands as the lowest quarterly Market Capitalization since the quarter ended Jun 30, 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Intelligent Living Application | 5.77 Mn | -7.63 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 8.41 Mn |
| Dec 31, 2024 | 16.63 Mn |
| Jun 30, 2024 | 7.04 Mn |
| Dec 31, 2023 | 13.09 Mn |
| Dec 31, 2022 | 15.89 Mn |
Intelligent Living Application Market Capitalization 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=market-capitalization&ticker=ILAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();