iHuman (IH) Non-Current Assets (2019 - 2026)
iHuman's Non-Current Assets came in at $9.97 million for the quarter ended Mar 31, 2026, down 12.7% from $11.42 million a year earlier but up 1.0% from the prior quarter.
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Analysis
iHuman (IH) Non-Current Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Non-Current Assets was $168.27 million, up 8.0% from the prior year.
- Non-Current Assets has increased in each of the last four years, with a five-year compound annual growth rate of 112.3% (years ended Dec 2020 to Dec 2025).
- Going back by year, Non-Current Assets was $155.8 million in the year ended Dec 31, 2024 (+2.7%), $151.64 million in the year ended Dec 31, 2023 (+18.3%), $128.17 million in the year ended Dec 31, 2022 (+36.6%) and $93.83 million in the year ended Dec 31, 2021.
- The five-year range for quarterly Non-Current Assets is $8.56 million (the quarter ended Jun 30, 2024) to $9.77 billion (the quarter ended Sep 30, 2025).
- Year-over-year, Non-Current Assets increased in three of the last seven quarters, with an average decline of 10.0%.
- The fastest year-over-year change in Non-Current Assets over five years came in the quarter ended Sep 30, 2021 (growth of 192.3%), and the weakest in the quarter ended Dec 31, 2025 (a decline of 93.8%).
- Business Quant data shows IH's Non-Current Assets at $9.87 million (quarter ended Dec 31, 2025), $9.77 billion (quarter ended Sep 30, 2025) and $9.95 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 9.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.97 Mn |
| Dec 31, 2025 | 9.87 Mn |
| Sep 30, 2025 | 9.77 Bn |
| Jun 30, 2025 | 9.95 Mn |
| Mar 31, 2025 | 11.42 Mn |
| Dec 31, 2024 | 158.32 Mn |
| Sep 30, 2024 | 9.21 Mn |
| Jun 30, 2024 | 8.56 Mn |
| Mar 31, 2024 | 9.06 Mn |
| Dec 31, 2023 | 149.53 Mn |
| Sep 30, 2023 | 9.44 Mn |
| Jun 30, 2023 | 9.47 Mn |
| Mar 31, 2023 | 10.53 Mn |
| Dec 31, 2022 | 124.29 Mn |
| Sep 30, 2022 | 11.87 Mn |
| Jun 30, 2022 | 13.50 Mn |
| Mar 31, 2022 | 16.51 Mn |
| Dec 31, 2021 | 93.53 Mn |
| Sep 30, 2021 | 13.55 Mn |
| Jun 30, 2021 | 8.89 Mn |
API Access
iHuman Non-Current Assets 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=non-current-assets&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();