Intelligent Living Application (ILAG) Receivables - Net (2021 - 2025)
Intelligent Living Application (ILAG) posted Receivables - Net of $235,142 for the quarter ended Dec 31, 2025, up 68.9% from $139,214 a year earlier.
Intelligent Living Application (ILAG) Receivables - Net (2021 - 2025) Analysis & Trends
Since the quarter ended Dec 31, 2021, Intelligent Living Application has reported Receivables - Net for 6 quarters.
- Annual Receivables - Net shows a four-year compound annual growth rate of -31.6% (years ended Dec 2021 to Dec 2025).
- In prior years, Intelligent Living Application's Receivables - Net was $139,214 in the year ended Dec 31, 2024 (-68.8%), $445,500 in the year ended Dec 31, 2023 (-72.6%), $1.62 million in the year ended Dec 31, 2022 (+51.3%) and $1.07 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Receivables - Net since the quarter ended Dec 31, 2023.
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
| Date | Value |
|---|---|
| Dec 31, 2025 | 235,142.00 |
| Dec 31, 2024 | 139,214.00 |
| Jun 30, 2024 | 213,555.00 |
| Dec 31, 2023 | 445,500.00 |
| Dec 31, 2022 | 1.62 Mn |
| Dec 31, 2021 | 1.07 Mn |
Intelligent Living Application Receivables - Net 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=receivables-net&ticker=ILAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();