iHuman (IH) Total Liabilities (2019 - 2026)
iHuman (IH) reported Total Liabilities of $60.43 million for the quarter ended Jun 30, 2026, up 19.5% from $50.56 million a year earlier and up 13.6% from the prior quarter.
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Analysis
iHuman (IH) Total Liabilities (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman posted Total Liabilities of $57.06 million, down 42.0% from the prior year.
- Total Liabilities has a five-year compound annual growth rate of -19.0% (years ended Dec 2020 to Dec 2025).
- By year, Total Liabilities came in at $98.41 million in the year ended Dec 31, 2024 (+43.8%), $68.43 million in the year ended Dec 31, 2023 (-16.3%), $81.77 million in the year ended Dec 31, 2022 (+5.8%) and $77.29 million in the year ended Dec 31, 2021 (-52.8%).
- Five-year quarterly Total Liabilities spans a low of $50.56 million in the quarter ended Jun 30, 2025 and a high of $53.75 billion in the quarter ended Sep 30, 2025.
- Year over year, Total Liabilities gained in three of the last seven quarters, with an average decline of 2.6%.
- The high point for year-over-year Total Liabilities in five years was the quarter ended Sep 30, 2021 (growth of 128.2%); the low point was the quarter ended Dec 31, 2025 (a decline of 42.0%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $53.18 million (quarter ended Mar 31, 2026), $57.06 million (quarter ended Dec 31, 2025) and $53.75 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 1.14 Bn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 541.14 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 2.19 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 2.38 Bn |
| 10 | iHuman | 60.65 Mn | -158.87 Bn | 16.39 Mn | 60.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.57 Mn |
| Mar 31, 2026 | 53.30 Mn |
| Dec 31, 2025 | 53.34 Mn |
| Sep 30, 2025 | 54.04 Bn |
| Jun 30, 2025 | 50.99 Mn |
| Mar 31, 2025 | 59.36 Mn |
| Dec 31, 2024 | 62.87 Mn |
| Sep 30, 2024 | 70.51 Mn |
| Jun 30, 2024 | 61.89 Mn |
| Mar 31, 2024 | 68.21 Mn |
| Dec 31, 2023 | 69.32 Mn |
| Sep 30, 2023 | 66.27 Mn |
| Jun 30, 2023 | 63.97 Mn |
| Mar 31, 2023 | 72.20 Mn |
| Dec 31, 2022 | 80.99 Mn |
| Sep 30, 2022 | 68.12 Mn |
| Jun 30, 2022 | 68.77 Mn |
| Mar 31, 2022 | 74.97 Mn |
| Dec 31, 2021 | 77.29 Mn |
| Sep 30, 2021 | 86.89 Mn |
API Access
iHuman 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=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "IH", "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=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();