iHuman (IH) Operating Expenses (2019 - 2026)
iHuman (IH) recorded Operating Expenses of -$19.45 million in the quarter ended Jun 30, 2026, compared with -$16.23 million a year earlier.
iHuman (IH) Operating Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, iHuman's Operating Expenses came in at -$72.95 million as of Jun 30, 2026; for the year ended Dec 31, 2025, it was -$68.76 million.
- Across earlier years, Operating Expenses came in at -$77.85 million in the year ended Dec 31, 2024, -$79.07 million in the year ended Dec 31, 2023, -$84.03 million in the year ended Dec 31, 2022 and -$112.18 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Operating Expenses since the quarter ended Sep 30, 2024.
- Per Business Quant, the preceding three quarters came in at -$19.15 million (quarter ended Mar 31, 2026), -$16.94 million (quarter ended Dec 31, 2025) and -$17.41 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn | 364.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn | 248.13 Mn |
| 10 | iHuman | 60.65 Mn | -158.87 Bn | 16.39 Mn | -19.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.45 Mn |
| Mar 31, 2026 | -19.15 Mn |
| Dec 31, 2025 | -16.94 Mn |
| Sep 30, 2025 | -17.41 Mn |
| Jun 30, 2025 | -16.23 Mn |
| Mar 31, 2025 | -16.84 Mn |
| Dec 31, 2024 | -19.39 Mn |
| Sep 30, 2024 | -20.40 Mn |
| Jun 30, 2024 | -18.29 Mn |
| Mar 31, 2024 | -20.86 Mn |
| Dec 31, 2023 | -22.02 Mn |
| Sep 30, 2023 | -20.04 Mn |
| Jun 30, 2023 | -17.92 Mn |
| Mar 31, 2023 | -18.76 Mn |
| Dec 31, 2022 | -20.57 Mn |
| Sep 30, 2022 | -19.48 Mn |
| Jun 30, 2022 | -20.99 Mn |
| Mar 31, 2022 | -25.02 Mn |
| Dec 31, 2021 | -27.54 Mn |
| Sep 30, 2021 | -34.78 Mn |
iHuman Operating 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=operating-expenses&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();