iHuman (IH) Prepaid Assets (2019 - 2026)
iHuman's Prepaid Assets came in at $11.02 million for the quarter ended Mar 31, 2026, down 11.4% from $12.44 million a year earlier but up 5.0% from the prior quarter.
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Analysis
iHuman (IH) Prepaid Assets (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Prepaid Assets was $10.65 million, up 264.3% from the prior year.
- Prepaid Assets carries a five-year compound annual growth rate of 1.5% (years ended Dec 2020 to Dec 2025).
- Going back by year, Prepaid Assets was $2.92 million in the year ended Dec 31, 2024 (+244.0%), $850,000 in the year ended Dec 31, 2023 (-94.3%), $14.9 million in the year ended Dec 31, 2022 and $566,000 in the year ended Dec 31, 2021 (-94.3%).
- The five-year range for quarterly Prepaid Assets is $526,843 (the quarter ended Dec 31, 2022) to $11.82 billion (the quarter ended Sep 30, 2025).
- Year-over-year, Prepaid Assets increased in two of the last six quarters, with an average decline of 1.9%.
- The fastest year-over-year change in Prepaid Assets over five years came in the quarter ended Dec 31, 2023 (growth of 59.0%), and the weakest in the quarter ended Dec 31, 2022 (a decline of 95.4%).
- Business Quant data shows IH's Prepaid Assets at $10.5 million (quarter ended Dec 31, 2025), $11.82 billion (quarter ended Sep 30, 2025) and $11.9 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) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn |
| 10 | iHuman | 113.46 Mn | -157.98 Bn | 16.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.72 Mn |
| Mar 31, 2026 | 11.02 Mn |
| Dec 31, 2025 | 10.50 Mn |
| Sep 30, 2025 | 11.82 Bn |
| Jun 30, 2025 | 11.90 Mn |
| Mar 31, 2025 | 12.44 Mn |
| Dec 31, 2024 | 12.46 Mn |
| Sep 30, 2024 | 14.54 Mn |
| Jun 30, 2024 | 12.93 Mn |
| Mar 31, 2024 | 12.96 Mn |
| Dec 31, 2023 | 837,907.64 |
| Sep 30, 2023 | 11.51 Mn |
| Jun 30, 2023 | 12.77 Mn |
| Mar 31, 2023 | 15.18 Mn |
| Dec 31, 2022 | 526,843.48 |
| Sep 30, 2022 | 13.18 Mn |
| Jun 30, 2022 | 13.12 Mn |
| Mar 31, 2022 | 12.56 Mn |
| Dec 31, 2021 | 11.39 Mn |
| Sep 30, 2021 | 11.93 Mn |
API Access
iHuman Prepaid 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=prepaid-assets&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();