Intelligent Living Application (ILAG) Finished Goods (2022 - 2025)
Intelligent Living Application's Finished Goods was $149,437 in the quarter ended Dec 31, 2025, down 71.6% from $525,800 a year earlier.
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Analysis
Intelligent Living Application (ILAG) Finished Goods (2022 - 2025) Analysis & Trends
From the quarter ended Dec 31, 2022 onward, Intelligent Living Application has reported Finished Goods for 4 quarters.
- Finished Goods shows a three-year compound annual growth rate of 3.1% (years ended Dec 2022 to Dec 2025).
- In earlier years, Finished Goods was $525,800 in the year ended Dec 31, 2024 (+44.6%), $363,733 in the year ended Dec 31, 2023 (+167.0%) and $136,255 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 marks the lowest quarterly Finished Goods since the quarter ended Dec 31, 2022.
Peer Set
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 | 90.21 Bn | 87.98 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 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 | 12.99 Bn | 9.34 Bn | 568.40 Mn |
| 10 | Intelligent Living Application | 5.77 Mn | -7.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 149,437.00 |
| Dec 31, 2024 | 525,800.00 |
| Dec 31, 2023 | 363,733.00 |
| Dec 31, 2022 | 136,255.00 |
API Access
Intelligent Living Application Finished Goods 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=finished-goods&ticker=ILAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();