iHuman (IH) Payables (2019 - 2026)
iHuman's Payables was $9.18 million in the quarter ended Mar 31, 2026, up 8.7% from $8.45 million a year earlier and up 159.6% from the prior quarter.
iHuman (IH) Payables (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Payables at iHuman came in at $3.54 million, down 21.6% from the prior year.
- Payables shows a five-year compound annual growth rate of 1.4% (years ended Dec 2020 to Dec 2025).
- In earlier years, Payables was $4.51 million in the year ended Dec 31, 2024 (+46.7%), $3.07 million in the year ended Dec 31, 2023 (-12.4%), $3.51 million in the year ended Dec 31, 2022 (-26.8%) and $4.79 million in the year ended Dec 31, 2021 (+45.1%).
- Quarterly Payables has moved between $2.03 million (the quarter ended Sep 30, 2022) and $3.78 billion (the quarter ended Sep 30, 2025) over five years.
- Compared with a year earlier, Payables was higher in five of the last seven quarters, with growth averaging 52.5%.
- The best year-over-year quarter for Payables over five years was the quarter ended Sep 30, 2024 (growth of 247.5%); the worst was the quarter ended Sep 30, 2022 (a decline of 64.3%).
- Per Business Quant data, IH's Payables in the three quarters before the quarter ended Mar 31, 2026 was $3.54 million (quarter ended Dec 31, 2025), $3.78 billion (quarter ended Sep 30, 2025) and $2.93 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 35.98 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 41.24 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 40.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 34.91 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 211.70 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 16.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 30.73 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 44.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 9.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 9.18 Mn |
| Dec 31, 2025 | 3.54 Mn |
| Sep 30, 2025 | 3.78 Bn |
| Jun 30, 2025 | 2.93 Mn |
| Mar 31, 2025 | 8.45 Mn |
| Dec 31, 2024 | 4.51 Mn |
| Sep 30, 2024 | 7.80 Mn |
| Jun 30, 2024 | 6.99 Mn |
| Mar 31, 2024 | 8.26 Mn |
| Dec 31, 2023 | 3.07 Mn |
| Sep 30, 2023 | 2.24 Mn |
| Jun 30, 2023 | 2.88 Mn |
| Mar 31, 2023 | 3.15 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 2.03 Mn |
| Jun 30, 2022 | 2.96 Mn |
| Mar 31, 2022 | 3.91 Mn |
| Dec 31, 2021 | 4.78 Mn |
| Sep 30, 2021 | 5.70 Mn |
| Jun 30, 2021 | 4.43 Mn |
iHuman Payables 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=payables&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();