iHuman (IH) Receivables (2019 - 2026)
iHuman's Receivables came in at $7.91 million for the quarter ended Mar 31, 2026, down 5.8% from $8.4 million a year earlier but up 9.2% from the prior quarter.
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Analysis
iHuman (IH) Receivables (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Receivables was $7.24 million, down 3.8% from the prior year.
- Receivables has declined in each of the last four years, with a five-year compound annual growth rate of -9.6% (years ended Dec 2020 to Dec 2025).
- Going back by year, Receivables was $7.53 million in the year ended Dec 31, 2024 (-13.5%), $8.7 million in the year ended Dec 31, 2023 (-68.9%), $27.96 million in the year ended Dec 31, 2022 (-65.2%) and $80.28 million in the year ended Dec 31, 2021 (+569.1%).
- The five-year range for quarterly Receivables is $7.24 million (the quarter ended Dec 31, 2025) to $9.18 billion (the quarter ended Sep 30, 2025).
- Year-over-year, Receivables increased in 1 of the last seven quarters, with an average decline of 6.7%.
- The fastest year-over-year change in Receivables over five years came in the quarter ended Dec 31, 2022 (growth of 53.6%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 34.8%).
- Business Quant data shows IH's Receivables at $7.24 million (quarter ended Dec 31, 2025), $9.18 billion (quarter ended Sep 30, 2025) and $7.99 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) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 183.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 824.11 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 130.98 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 218.88 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 253.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 7.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 7.91 Mn |
| Dec 31, 2025 | 7.24 Mn |
| Sep 30, 2025 | 9.18 Bn |
| Jun 30, 2025 | 7.99 Mn |
| Mar 31, 2025 | 8.40 Mn |
| Dec 31, 2024 | 7.53 Mn |
| Sep 30, 2024 | 9.55 Mn |
| Jun 30, 2024 | 7.49 Mn |
| Mar 31, 2024 | 9.92 Mn |
| Dec 31, 2023 | 8.51 Mn |
| Sep 30, 2023 | 9.87 Mn |
| Jun 30, 2023 | 8.68 Mn |
| Mar 31, 2023 | 12.20 Mn |
| Dec 31, 2022 | 11.87 Mn |
| Sep 30, 2022 | 11.76 Mn |
| Jun 30, 2022 | 10.70 Mn |
| Mar 31, 2022 | 14.48 Mn |
| Dec 31, 2021 | 7.72 Mn |
| Sep 30, 2021 | 11.97 Mn |
| Jun 30, 2021 | 13.90 Mn |
API Access
iHuman Receivables 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&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();