iHuman (IH) Receivables - Net (2019 - 2026)
iHuman (IH) posted Receivables - Net of $5.71 million for the quarter ended Jun 30, 2026, down 27.4% from $7.86 million a year earlier and down 23.4% from the prior quarter.
iHuman (IH) Receivables - Net (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Receivables - Net came in at $6.73 million, down 5.6% from the prior year.
- Annual Receivables - Net has declined for four consecutive years, with a five-year compound annual growth rate of -10.8% (years ended Dec 2020 to Dec 2025).
- In prior years, iHuman's Receivables - Net was $7.13 million in the year ended Dec 31, 2024 (-16.8%), $8.57 million in the year ended Dec 31, 2023 (-25.8%), $11.54 million in the year ended Dec 31, 2022 (-85.5%) and $79.61 million in the year ended Dec 31, 2021 (+566.3%).
- The figure for the quarter ended Jun 30, 2026 stands as the lowest quarterly Receivables - Net since the quarter ended Dec 31, 2019.
- On a year-over-year basis, Receivables - Net has declined in each of the last three quarters, with an average decline of 8.4% over the last seven quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was the quarter ended Dec 31, 2022, with growth of 27.5%; the weakest was the quarter ended Jun 30, 2022, with a decline of 27.9%.
- According to Business Quant data, Receivables - Net for the three prior quarters was $7.46 million (quarter ended Mar 31, 2026), $6.99 million (quarter ended Dec 31, 2025) and $9 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.90 Bn | 24.15 Bn | 695.95 Mn |
| 3 | Samsara | 24.64 Bn | 21.42 Bn | 392.58 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.68 Bn | 11.35 Bn | 516.00 Mn |
| 6 | Trimble | 14.26 Bn | 13.33 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.54 Bn | 12.53 Bn | 168.33 Mn |
| 8 | Costar | 13.27 Bn | 7.23 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.86 Bn | 11.32 Bn | 336.74 Mn |
| 10 | iHuman | 59.88 Mn | -158.87 Bn | 16.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.71 Mn |
| Mar 31, 2026 | 7.46 Mn |
| Dec 31, 2025 | 6.73 Mn |
| Sep 30, 2025 | 9.00 Bn |
| Jun 30, 2025 | 7.86 Mn |
| Mar 31, 2025 | 8.21 Mn |
| Dec 31, 2024 | 7.13 Mn |
| Sep 30, 2024 | 9.46 Mn |
| Jun 30, 2024 | 7.22 Mn |
| Mar 31, 2024 | 9.43 Mn |
| Dec 31, 2023 | 8.56 Mn |
| Sep 30, 2023 | 9.51 Mn |
| Jun 30, 2023 | 8.13 Mn |
| Mar 31, 2023 | 11.86 Mn |
| Dec 31, 2022 | 11.43 Mn |
| Sep 30, 2022 | 10.71 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 13.95 Mn |
| Dec 31, 2021 | 8.81 Mn |
| Sep 30, 2021 | 11.39 Mn |
iHuman Receivables - Net 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=receivables-net&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();