iHuman (IH) Receivables - Net (2019 - 2026)
iHuman (IH) posted Receivables - Net of $7.46 million for the quarter ended Mar 31, 2026, down 9.1% from $8.21 million a year earlier but up 12.4% 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%).
- Quarterly Receivables - Net has run from a low of $6.64 million in the quarter ended Dec 31, 2025 to a high of $9 billion in the quarter ended Sep 30, 2025 over five years.
- On a year-over-year basis, Receivables - Net increased in 1 of the last seven quarters, with an average decline of 6.8%.
- 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 $6.64 million (quarter ended Dec 31, 2025), $9 billion (quarter ended Sep 30, 2025) and $7.86 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.46 Mn |
| Dec 31, 2025 | 6.64 Mn |
| Sep 30, 2025 | 9.00 Bn |
| Jun 30, 2025 | 7.86 Mn |
| Mar 31, 2025 | 8.21 Mn |
| Dec 31, 2024 | 7.24 Mn |
| Sep 30, 2024 | 9.46 Mn |
| Jun 30, 2024 | 7.22 Mn |
| Mar 31, 2024 | 9.43 Mn |
| Dec 31, 2023 | 8.45 Mn |
| Sep 30, 2023 | 9.51 Mn |
| Jun 30, 2023 | 8.13 Mn |
| Mar 31, 2023 | 11.86 Mn |
| Dec 31, 2022 | 11.19 Mn |
| Sep 30, 2022 | 10.71 Mn |
| Jun 30, 2022 | 9.77 Mn |
| Mar 31, 2022 | 13.95 Mn |
| Dec 31, 2021 | 8.78 Mn |
| Sep 30, 2021 | 11.39 Mn |
| Jun 30, 2021 | 13.56 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();