iHuman (IH) Cash & Equivalents (2019 - 2026)
iHuman (IH) recorded Cash & Equivalents of $117.33 million in the quarter ended Jun 30, 2026, up 38.9% from $84.47 million a year earlier and up 127.0% from the prior quarter.
iHuman (IH) Cash & Equivalents (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman reported Cash & Equivalents of $164.61 million, up 7.0% from the prior year.
- Annual Cash & Equivalents has a five-year compound annual growth rate of 4.5% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Cash & Equivalents came in at $153.89 million in the year ended Dec 31, 2024 (-10.0%), $170.96 million in the year ended Dec 31, 2023 (+12.3%), $152.24 million in the year ended Dec 31, 2022 (+13.4%) and $134.23 million in the year ended Dec 31, 2021 (+1.6%).
- Quarterly Cash & Equivalents has ranged from $51.68 million in the quarter ended Mar 31, 2026 to $72.53 billion in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, Cash & Equivalents rose in three of the last seven quarters, with an average decline of 10.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 348.7% in the quarter ended Sep 30, 2021, against a decline of 66.5% in the quarter ended Mar 31, 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.68 million (quarter ended Mar 31, 2026), $162.73 million (quarter ended Dec 31, 2025) and $72.53 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 1.18 Bn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 1.27 Bn |
| 10 | iHuman | 116.53 Mn | -157.98 Bn | 16.39 Mn | 117.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 117.33 Mn |
| Mar 31, 2026 | 51.68 Mn |
| Dec 31, 2025 | 162.30 Mn |
| Sep 30, 2025 | 72.53 Bn |
| Jun 30, 2025 | 84.47 Mn |
| Mar 31, 2025 | 154.21 Mn |
| Dec 31, 2024 | 156.38 Mn |
| Sep 30, 2024 | 92.86 Mn |
| Jun 30, 2024 | 125.84 Mn |
| Mar 31, 2024 | 123.38 Mn |
| Dec 31, 2023 | 168.58 Mn |
| Sep 30, 2023 | 142.24 Mn |
| Jun 30, 2023 | 133.42 Mn |
| Mar 31, 2023 | 134.49 Mn |
| Dec 31, 2022 | 147.63 Mn |
| Sep 30, 2022 | 123.51 Mn |
| Jun 30, 2022 | 105.80 Mn |
| Mar 31, 2022 | 113.25 Mn |
| Dec 31, 2021 | 133.79 Mn |
| Sep 30, 2021 | 142.61 Mn |
iHuman Cash & Equivalents 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=cash-and-equivalents&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();