Intelligent Living Application (ILAG) Accumulated Expenses (2021 - 2025)
Intelligent Living Application (ILAG) reported Accumulated Expenses of $1.03 million for the quarter ended Dec 31, 2025, up 110.3% from $488,368 a year earlier.
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Analysis
Intelligent Living Application (ILAG) Accumulated Expenses (2021 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2021, Intelligent Living Application's Accumulated Expenses record includes 6 quarters.
- Accumulated Expenses has a four-year compound annual growth rate of -10.2% (years ended Dec 2021 to Dec 2025).
- By year, Accumulated Expenses came in at $488,368 in the year ended Dec 31, 2024 (-21.9%), $625,350 in the year ended Dec 31, 2023 (-7.8%), $677,972 in the year ended Dec 31, 2022 (-57.1%) and $1.58 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 ranks as the highest quarterly Accumulated Expenses since the quarter ended Dec 31, 2021.
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 | 90.06 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.03 Mn |
| Dec 31, 2024 | 488,368.00 |
| Jun 30, 2024 | 393,539.00 |
| Dec 31, 2023 | 625,350.00 |
| Dec 31, 2022 | 677,972.00 |
| Dec 31, 2021 | 1.58 Mn |
API Access
Intelligent Living Application Accumulated Expenses 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=accumulated-expenses&ticker=ILAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();