Intelligent Hotel (ZHJD) Total Liabilities (2020 - 2025)
Intelligent Hotel's Total Liabilities was $11,749 in Q3 2025, down 97.6% from $493,122 a year earlier and down 71.2% from the prior quarter.
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Analysis
Intelligent Hotel (ZHJD) Total Liabilities (2020 - 2025) Analysis & Trends
At the end of FY2024, Total Liabilities at Intelligent Hotel came in at $418,050, down 29.9% from FY2023.
- Total Liabilities shows a four-year compound annual growth rate of 9.3% (FY2020 to FY2024).
- In earlier years, Total Liabilities was $596,465 in FY2023 (-2.9%), $614,409 in FY2022 (+123.0%), $275,575 in FY2021 (-5.8%) and $292,420 in FY2020.
- The Q3 2025 figure marks the lowest quarterly Total Liabilities in data going back to Q4 2020.
- Compared with a year earlier, Total Liabilities has declined for six straight quarters, with an average decline of 32.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 123.0%); the worst was Q3 2025 (a decline of 97.6%).
- Per Business Quant data, ZHJD's Total Liabilities in the three quarters before Q3 2025 was $40,800 (Q2 2025), $395,457 (Q1 2025) and $418,050 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 217.60 Bn | 200.72 Bn | 4.43 Bn | 47.73 Bn |
| 2 | Corning | 130.50 Bn | 123.63 Bn | 1.63 Bn | 19.83 Bn |
| 3 | Sherwin Williams | 80.80 Bn | 79.84 Bn | 3.34 Bn | 23.10 Bn |
| 4 | Air Products & Chemicals | 62.07 Bn | 59.97 Bn | 1.04 Bn | 23.85 Bn |
| 5 | Corteva | 51.85 Bn | 40.65 Bn | 3.66 Bn | 16.24 Bn |
| 6 | LyondellBasell Industries | 37.65 Bn | 27.27 Bn | 2.04 Bn | 23.80 Bn |
| 7 | Nutrien | 34.70 Bn | 31.57 Bn | 3.25 Bn | 27.62 Bn |
| 8 | Qnity Electronics | 26.13 Bn | 23.56 Bn | 666.00 Mn | 6.79 Bn |
| 9 | Ati | 24.61 Bn | 22.75 Bn | 309.80 Mn | 3.74 Bn |
| 10 | Intelligent Hotel | 180.49 Mn | 180.49 Mn | - | 11,749.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11,749.00 |
| Jun 30, 2025 | 40,800.00 |
| Mar 31, 2025 | 395,457.00 |
| Dec 31, 2024 | 418,050.00 |
| Sep 30, 2024 | 493,122.00 |
| Jun 30, 2024 | 469,535.00 |
| Mar 31, 2024 | 572,612.00 |
| Dec 31, 2023 | 596,465.00 |
| Sep 30, 2023 | 582,763.00 |
| Jun 30, 2023 | 600,655.00 |
| Mar 31, 2023 | 431,073.00 |
| Dec 31, 2022 | 614,409.00 |
| Sep 30, 2022 | 312,699.00 |
| Jun 30, 2022 | 306,139.00 |
| Mar 31, 2022 | 279,272.00 |
| Dec 31, 2021 | 275,575.00 |
| Sep 30, 2021 | 296,154.00 |
| Jun 30, 2021 | 303,527.00 |
| Dec 31, 2020 | 292,420.00 |
API Access
Intelligent Hotel Total Liabilities 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=total-liabilities&ticker=ZHJD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ZHJD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();