iHuman (IH) Accumulated Expenses (2019 - 2026)
iHuman's Accumulated Expenses was $11.12 million in the quarter ended Jun 30, 2026, down 11.7% from $12.6 million a year earlier and down 7.9% from the prior quarter.
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Analysis
iHuman (IH) Accumulated Expenses (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Accumulated Expenses at iHuman came in at $16.55 million, down 4.5% from the prior year.
- Accumulated Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 0.2% (years ended Dec 2020 to Dec 2025).
- In earlier years, Accumulated Expenses was $17.33 million in the year ended Dec 31, 2024 (-14.4%), $20.24 million in the year ended Dec 31, 2023 (-3.6%), $20.98 million in the year ended Dec 31, 2022 (+15.4%) and $18.19 million in the year ended Dec 31, 2021 (+10.9%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Accumulated Expenses since the quarter ended Mar 31, 2025.
- Compared with a year earlier, Accumulated Expenses was higher in two of the last seven quarters, with an average decline of 5.9%.
- The best year-over-year quarter for Accumulated Expenses over five years was the quarter ended Sep 30, 2021 (growth of 27.2%); the worst was the quarter ended Sep 30, 2022 (a decline of 18.5%).
- Per Business Quant data, IH's Accumulated Expenses in the three quarters before the quarter ended Jun 30, 2026 was $12.08 million (quarter ended Mar 31, 2026), $16.83 million (quarter ended Dec 31, 2025) and $15.31 billion (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 | 49.39 Bn | 21.63 Bn | 695.95 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn |
| 10 | iHuman | 58.59 Mn | -158.88 Bn | 16.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.12 Mn |
| Mar 31, 2026 | 12.08 Mn |
| Dec 31, 2025 | 16.54 Mn |
| Sep 30, 2025 | 15.31 Bn |
| Jun 30, 2025 | 12.60 Mn |
| Mar 31, 2025 | 11.05 Mn |
| Dec 31, 2024 | 17.33 Mn |
| Sep 30, 2024 | 16.58 Mn |
| Jun 30, 2024 | 12.56 Mn |
| Mar 31, 2024 | 13.03 Mn |
| Dec 31, 2023 | 20.22 Mn |
| Sep 30, 2023 | 18.05 Mn |
| Jun 30, 2023 | 15.23 Mn |
| Mar 31, 2023 | 13.83 Mn |
| Dec 31, 2022 | 20.78 Mn |
| Sep 30, 2022 | 15.19 Mn |
| Jun 30, 2022 | 12.99 Mn |
| Mar 31, 2022 | 13.76 Mn |
| Dec 31, 2021 | 18.19 Mn |
| Sep 30, 2021 | 18.64 Mn |
API Access
iHuman 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=accumulated-expenses&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();