iHuman (IH) Inventory (2019 - 2026)
iHuman (IH) posted Inventory of $4.03 million for the quarter ended Mar 31, 2026, up 54.6% from $2.61 million a year earlier and up 33.8% from the prior quarter.
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Analysis
iHuman (IH) Inventory (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman's Inventory came in at $3.06 million, down 4.9% from the prior year.
- Annual Inventory shows a five-year compound annual growth rate of 3.4% (years ended Dec 2020 to Dec 2025).
- In prior years, iHuman's Inventory was $3.22 million in the year ended Dec 31, 2024 (+38.2%), $2.33 million in the year ended Dec 31, 2023 (-16.1%), $2.77 million in the year ended Dec 31, 2022 (-37.0%) and $4.4 million in the year ended Dec 31, 2021 (+70.2%).
- Quarterly Inventory has run from a low of $1.84 million in the quarter ended Sep 30, 2023 to a high of $2.87 billion in the quarter ended Sep 30, 2025 over five years.
- On a year-over-year basis, Inventory increased in six of the last seven quarters, with growth averaging 23.5%.
- The strongest year-over-year quarter for Inventory in the past five years was the quarter ended Sep 30, 2021, with growth of 74.9%; the weakest was the quarter ended Mar 31, 2023, with a decline of 43.6%.
- According to Business Quant data, Inventory for the three prior quarters was $3.02 million (quarter ended Dec 31, 2025), $2.87 billion (quarter ended Sep 30, 2025) and $2.89 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (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 | 57.03 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 217.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 185.30 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 | 4.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 4.03 Mn |
| Dec 31, 2025 | 3.02 Mn |
| Sep 30, 2025 | 2.87 Bn |
| Jun 30, 2025 | 2.89 Mn |
| Mar 31, 2025 | 2.61 Mn |
| Dec 31, 2024 | 3.27 Mn |
| Sep 30, 2024 | 2.41 Mn |
| Jun 30, 2024 | 2.62 Mn |
| Mar 31, 2024 | 2.39 Mn |
| Dec 31, 2023 | 2.29 Mn |
| Sep 30, 2023 | 1.84 Mn |
| Jun 30, 2023 | 2.09 Mn |
| Mar 31, 2023 | 2.17 Mn |
| Dec 31, 2022 | 2.69 Mn |
| Sep 30, 2022 | 2.32 Mn |
| Jun 30, 2022 | 3.61 Mn |
| Mar 31, 2022 | 3.84 Mn |
| Dec 31, 2021 | 4.39 Mn |
| Sep 30, 2021 | 3.86 Mn |
| Jun 30, 2021 | 3.31 Mn |
API Access
iHuman Inventory 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=inventory&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();