Intelligent Living Application (ILAG) Raw Materials (2022 - 2025)
Intelligent Living Application (ILAG) reported Raw Materials of $29,084 for the quarter ended Dec 31, 2025, up 15.8% from $25,117 a year earlier.
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Analysis
Intelligent Living Application (ILAG) Raw Materials (2022 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2022, Intelligent Living Application's Raw Materials record includes 4 quarters.
- Raw Materials has a three-year compound annual growth rate of -6.2% (years ended Dec 2022 to Dec 2025).
- By year, Raw Materials came in at $25,117 in the year ended Dec 31, 2024 (-48.1%), $48,422 in the year ended Dec 31, 2023 (+37.3%) and $35,270 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Raw Materials since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 104.09 Bn | 98.81 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.71 Bn | 89.44 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.54 Bn | 44.79 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.55 Bn | 40.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.56 Bn | 23.98 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.31 Bn | 14.37 Bn | 548.70 Mn |
| 7 | Masco | 14.89 Bn | 12.75 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.77 Bn | 10.11 Bn | 568.40 Mn |
| 9 | Allegion | 13.46 Bn | 12.17 Bn | 517.50 Mn |
| 10 | Intelligent Living Application | 5.13 Mn | -2.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 29,084.00 |
| Dec 31, 2024 | 25,117.00 |
| Dec 31, 2023 | 48,422.00 |
| Dec 31, 2022 | 35,270.00 |
API Access
Intelligent Living Application Raw Materials 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=raw-materials&ticker=ILAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "raw-materials", "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=raw-materials&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();