iHuman (IH) Other Accumulated Expenses (2019 - 2026)
iHuman (IH) recorded Other Accumulated Expenses of $11.44 million in the quarter ended Jun 30, 2026, compared with $272,000 a year earlier.
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Analysis
iHuman (IH) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman reported Other Accumulated Expenses of $150,298, down 81.1% from the prior year.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 15.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Other Accumulated Expenses came in at $797,000 in the year ended Dec 31, 2024 (-37.0%), $1.27 million in the year ended Dec 31, 2023 (+69.0%), $749,000 in the year ended Dec 31, 2022 (-61.2%) and $1.93 million in the year ended Dec 31, 2021.
- Quarterly Other Accumulated Expenses has ranged from -$31.61 million in the quarter ended Dec 31, 2021 to $913 million in the quarter ended Sep 30, 2025 over the past five years.
- On a year-over-year basis, Other Accumulated Expenses rose in two of the last six quarters, with an average decline of 31.0%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 328.5% in the quarter ended Jun 30, 2024, against a decline of 87.0% in the quarter ended Jun 30, 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $347,000 (quarter ended Mar 31, 2026), $150,298 (quarter ended Dec 31, 2025) and $913 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn |
| 10 | iHuman | 116.53 Mn | -157.98 Bn | 16.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.44 Mn |
| Mar 31, 2026 | 347,000.00 |
| Dec 31, 2025 | 150,298.11 |
| Sep 30, 2025 | 913.00 Mn |
| Jun 30, 2025 | 272,000.00 |
| Mar 31, 2025 | 1.02 Mn |
| Dec 31, 2024 | 809,678.62 |
| Sep 30, 2024 | 2.95 Mn |
| Jun 30, 2024 | 2.09 Mn |
| Mar 31, 2024 | 3.15 Mn |
| Dec 31, 2023 | 681,798.21 |
| Sep 30, 2023 | 1.50 Mn |
| Jun 30, 2023 | 487,000.00 |
| Mar 31, 2023 | 1.92 Mn |
| Dec 31, 2022 | -2,206.30 |
| Sep 30, 2022 | 1.25 Mn |
| Jun 30, 2022 | 3.25 Mn |
| Mar 31, 2022 | 2.75 Mn |
| Dec 31, 2021 | -31.61 Mn |
| Sep 30, 2021 | 3.94 Mn |
API Access
iHuman Other Accumulated Expenses 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=other-accumulated-expenses&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();