Intelligent Hotel (ZHJD) EBT Margin (2020 - 2024)
Intelligent Hotel's EBT Margin came in at -20.94% for FY2024, down 22.94 percentage points from 2.00% in FY2023.
Analysis
Intelligent Hotel (ZHJD) EBT Margin (2020 - 2024) Analysis & Trends
Going back to FY2020, Intelligent Hotel's EBT Margin data covers 5 years.
- EBT Margin carries a four-year change of +110.51 percentage points (FY2020 to FY2024).
- The five-year range for annual EBT Margin is -210.89% (FY2021) to 2.00% (FY2023).
- Per Business Quant, earlier years put EBT Margin at 2.00% in FY2023 (+64.89 pp), -62.88% in FY2022 (+148.01 pp), -210.89% in FY2021 (-79.45 pp) and -131.45% in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 27.41% |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 14.41% |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 16.39% |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | -61.30% |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 25.47% |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 8.80% |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 16.44% |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 13.93% |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 15.30% |
| 10 | Intelligent Hotel | 180.49 Mn | 180.49 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | -179.68% |
| Mar 31, 2024 | 44.08% |
| Dec 31, 2023 | 34.30% |
| Sep 30, 2023 | -93.13% |
| Jun 30, 2023 | -5,681.40% |
| Mar 31, 2023 | 45.45% |
| Dec 31, 2022 | 9.49% |
| Sep 30, 2022 | -65.09% |
| Jun 30, 2022 | -332.02% |
| Mar 31, 2022 | -184.37% |
| Dec 31, 2021 | -178.02% |
| Sep 30, 2021 | -1,789.16% |
| Jun 30, 2021 | -32.10% |
| Mar 31, 2021 | -140.07% |
| Dec 31, 2020 | -71.27% |
| Sep 30, 2020 | -174.49% |
API Access
Intelligent Hotel EBT Margin 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=ebt-margin&ticker=ZHJD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-margin", "ticker": "ZHJD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebt-margin&ticker=ZHJD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();