iHuman (IH) Assets (2019 - 2026)
iHuman's Assets came in at $183.25 million for the quarter ended Jun 30, 2026, down 1.7% from $186.37 million a year earlier and down 4.8% from the prior quarter.
iHuman (IH) Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Assets was $195.67 million, up 0.6% from the prior year.
- Assets carries a five-year compound annual growth rate of 4.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Assets was $194.49 million in the year ended Dec 31, 2024 (-4.8%), $204.3 million in the year ended Dec 31, 2023 (+5.7%), $193.33 million in the year ended Dec 31, 2022 (+11.9%) and $172.75 million in the year ended Dec 31, 2021 (+7.7%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Assets since the quarter ended Sep 30, 2022.
- Year-over-year, Assets increased in two of the last seven quarters, with growth averaging 0.1%.
- The fastest year-over-year change in Assets over five years came in the quarter ended Sep 30, 2021 (growth of 216.5%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 6.4%).
- Business Quant data shows IH's Assets at $192.43 million (quarter ended Mar 31, 2026), $195.36 million (quarter ended Dec 31, 2025) and $192.16 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 6.51 Bn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 3.18 Bn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 698.65 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 10.14 Bn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 3.58 Bn |
| 10 | iHuman | 60.65 Mn | -158.87 Bn | 16.39 Mn | 183.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 183.25 Mn |
| Mar 31, 2026 | 192.43 Mn |
| Dec 31, 2025 | 195.59 Mn |
| Sep 30, 2025 | 192.16 Bn |
| Jun 30, 2025 | 186.37 Mn |
| Mar 31, 2025 | 189.09 Mn |
| Dec 31, 2024 | 194.52 Mn |
| Sep 30, 2024 | 202.44 Mn |
| Jun 30, 2024 | 186.99 Mn |
| Mar 31, 2024 | 190.92 Mn |
| Dec 31, 2023 | 204.09 Mn |
| Sep 30, 2023 | 193.51 Mn |
| Jun 30, 2023 | 185.06 Mn |
| Mar 31, 2023 | 190.53 Mn |
| Dec 31, 2022 | 191.50 Mn |
| Sep 30, 2022 | 172.16 Mn |
| Jun 30, 2022 | 168.61 Mn |
| Mar 31, 2022 | 172.60 Mn |
| Dec 31, 2021 | 172.77 Mn |
| Sep 30, 2021 | 183.96 Mn |
iHuman 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=assets&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();