Intelligent Living Application (ILAG) Retained Earnings (2021 - 2025)
Intelligent Living Application's Retained Earnings came in at -$30.18 million for the quarter ended Dec 31, 2025, compared with -$10.83 million a year earlier.
Intelligent Living Application (ILAG) Retained Earnings (2021 - 2025) Analysis & Trends
Going back to the quarter ended Dec 31, 2021, Intelligent Living Application's Retained Earnings data covers 6 quarters.
- Going back by year, Retained Earnings was -$10.83 million in the year ended Dec 31, 2024, -$7.14 million in the year ended Dec 31, 2023, -$3.64 million in the year ended Dec 31, 2022 and -$1.99 million in the year ended Dec 31, 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 10.53 Bn |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 3.34 Bn |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 12.54 Bn |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | -117.00 Mn |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 1.93 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | -849.00 Mn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.35 Bn |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 7.63 Bn |
| 10 | Intelligent Living Application | 5.77 Mn | -7.63 Mn | - | -30.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -30.18 Mn |
| Dec 31, 2024 | -10.83 Mn |
| Jun 30, 2024 | -16.16 Mn |
| Dec 31, 2023 | -7.14 Mn |
| Dec 31, 2022 | -3.64 Mn |
| Dec 31, 2021 | -1.99 Mn |
Intelligent Living Application Retained Earnings 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=retained-earnings&ticker=ILAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=ILAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();