Intelligent Living Application (ILAG) Operating Leases (2021 - 2025)
Intelligent Living Application's Operating Leases came in at $10,524 for the quarter ended Dec 31, 2025, down 92.1% from $133,289 a year earlier.
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Analysis
Intelligent Living Application (ILAG) Operating Leases (2021 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2021, Intelligent Living Application's Operating Leases data covers 6 quarters.
- Operating Leases carries a four-year compound annual growth rate of -60.1% (years ended Dec 2021 to Dec 2025).
- Going back by year, Operating Leases was $133,289 in the year ended Dec 31, 2024 (-14.7%), $156,183 in the year ended Dec 31, 2023 (+31.8%), $118,532 in the year ended Dec 31, 2022 (-71.6%) and $416,701 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Intelligent Living Application | 5.82 Mn | -1.39 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10,524.00 |
| Dec 31, 2024 | 133,289.00 |
| Jun 30, 2024 | 82,321.00 |
| Dec 31, 2023 | 156,183.00 |
| Dec 31, 2022 | 118,532.00 |
| Dec 31, 2021 | 416,701.00 |
API Access
Intelligent Living Application Operating Leases 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=operating-leases&ticker=ILAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();