iHuman (IH) Total Non-Current Liabilities (2019 - 2026)
iHuman's Total Non-Current Liabilities was $1.28 million in the quarter ended Mar 31, 2026, down 12.5% from $1.46 million a year earlier and down 1.7% from the prior quarter.
iHuman (IH) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Non-Current Liabilities at iHuman came in at $49.9 million, down 14.2% from the prior year.
- Total Non-Current Liabilities has now declined for three consecutive years, though with a five-year compound annual growth rate of 129.9% (years ended Dec 2020 to Dec 2025).
- In earlier years, Total Non-Current Liabilities was $58.15 million in the year ended Dec 31, 2024 (-9.9%), $64.52 million in the year ended Dec 31, 2023 (-16.4%), $77.22 million in the year ended Dec 31, 2022 (+10.0%) and $70.22 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 marks the lowest quarterly Total Non-Current Liabilities since the quarter ended Sep 30, 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in two of the last seven quarters, with growth averaging 172.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was the quarter ended Jun 30, 2025 (growth of 837.6%); the worst was the quarter ended Dec 31, 2025 (a decline of 97.8%).
- Per Business Quant data, IH's Total Non-Current Liabilities in the three quarters before the quarter ended Mar 31, 2026 was $1.3 million (quarter ended Dec 31, 2025), $1.35 billion (quarter ended Sep 30, 2025) and $1.4 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 1.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.28 Mn |
| Dec 31, 2025 | 1.30 Mn |
| Sep 30, 2025 | 1.35 Bn |
| Jun 30, 2025 | 1.40 Mn |
| Mar 31, 2025 | 1.46 Mn |
| Dec 31, 2024 | 59.09 Mn |
| Sep 30, 2024 | 105,000.00 |
| Jun 30, 2024 | 149,000.00 |
| Mar 31, 2024 | 207,000.00 |
| Dec 31, 2023 | 63.62 Mn |
| Sep 30, 2023 | 324,000.00 |
| Jun 30, 2023 | 313,000.00 |
| Mar 31, 2023 | 376,000.00 |
| Dec 31, 2022 | 74.88 Mn |
| Sep 30, 2022 | 449,000.00 |
| Jun 30, 2022 | 522,000.00 |
| Mar 31, 2022 | 598,000.00 |
| Dec 31, 2021 | 69.99 Mn |
| Sep 30, 2021 | 2.78 Mn |
| Jun 30, 2021 | 1.97 Mn |
iHuman Total Non-Current 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-non-current-liabilities&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();