iHuman (IH) EBT (2019 - 2026)
iHuman (IH) reported EBT of $655,000 for the quarter ended Mar 31, 2026, down 83.9% from $4.08 million a year earlier and down 71.3% from the prior quarter.
iHuman (IH) EBT (2019 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, iHuman's EBT came in at $10.81 million, down 31.5% year-over-year; for the year ended Dec 31, 2025, it was $14.56 million, down 3.9% from the prior year.
- By year, EBT came in at $15.15 million in the year ended Dec 31, 2024 (-46.9%), $28.53 million in the year ended Dec 31, 2023 (+48.2%), $19.25 million in the year ended Dec 31, 2022 and -$5.84 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the lowest quarterly EBT since the quarter ended Dec 31, 2021.
- Year over year, EBT has now declined in each of the last three quarters, with an average decline of 27.5% over the last eight quarters.
- The high point for year-over-year EBT in five years was the quarter ended Mar 31, 2023 (growth of 296.1%); the low point was the quarter ended Mar 31, 2026 (a decline of 83.9%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $2.28 million (quarter ended Dec 31, 2025), $3.09 million (quarter ended Sep 30, 2025) and $4.78 million (quarter ended Jun 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 349.53 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 17.53 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 162.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 152.44 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -444.80 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 45.37 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.21 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 74.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 655,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 655,000.00 |
| Dec 31, 2025 | 2.28 Mn |
| Sep 30, 2025 | 3.09 Mn |
| Jun 30, 2025 | 4.78 Mn |
| Mar 31, 2025 | 4.08 Mn |
| Dec 31, 2024 | 3.72 Mn |
| Sep 30, 2024 | 4.09 Mn |
| Jun 30, 2024 | 3.89 Mn |
| Mar 31, 2024 | 3.67 Mn |
| Dec 31, 2023 | 4.35 Mn |
| Sep 30, 2023 | 8.21 Mn |
| Jun 30, 2023 | 6.76 Mn |
| Mar 31, 2023 | 9.15 Mn |
| Dec 31, 2022 | 6.45 Mn |
| Sep 30, 2022 | 6.77 Mn |
| Jun 30, 2022 | 3.81 Mn |
| Mar 31, 2022 | 2.31 Mn |
| Dec 31, 2021 | -1.24 Mn |
| Sep 30, 2021 | -5.93 Mn |
| Jun 30, 2021 | 259,000.00 |
iHuman EBT 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=ebt&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();