iHuman (IH) Market Capitalization (2020 - 2026)
iHuman's Market Capitalization came in at $174.79 million for the quarter ended Mar 31, 2026, down 20.7% from $220.55 million a year earlier and down 18.6% from the prior quarter.
iHuman (IH) Market Capitalization (2020 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, iHuman's Market Capitalization was $214.66 million, up 22.1% from the prior year.
- Market Capitalization carries a five-year compound annual growth rate of -26.0% (years ended Dec 2020 to Dec 2025).
- Going back by year, Market Capitalization was $175.82 million in the year ended Dec 31, 2024 (-45.7%), $323.83 million in the year ended Dec 31, 2023 (+17.2%), $276.35 million in the year ended Dec 31, 2022 (+84.2%) and $150.02 million in the year ended Dec 31, 2021 (-84.5%).
- The figure for the quarter ended Mar 31, 2026 represents the lowest quarterly Market Capitalization since the quarter ended Sep 30, 2022.
- Year-over-year, Market Capitalization increased in four of the last eight quarters, with an average decline of 3.0%.
- The fastest year-over-year change in Market Capitalization over five years came in the quarter ended Mar 31, 2023 (growth of 200.3%), and the weakest in the quarter ended Dec 31, 2021 (a decline of 84.5%).
- Business Quant data shows IH's Market Capitalization at $214.66 million (quarter ended Dec 31, 2025), $300.66 million (quarter ended Sep 30, 2025) and $260.08 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 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 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 174.79 Mn |
| Dec 31, 2025 | 214.66 Mn |
| Sep 30, 2025 | 300.66 Mn |
| Jun 30, 2025 | 260.08 Mn |
| Mar 31, 2025 | 220.55 Mn |
| Dec 31, 2024 | 175.82 Mn |
| Sep 30, 2024 | 242.61 Mn |
| Jun 30, 2024 | 188.81 Mn |
| Mar 31, 2024 | 179.32 Mn |
| Dec 31, 2023 | 323.83 Mn |
| Sep 30, 2023 | 320.99 Mn |
| Jun 30, 2023 | 314.62 Mn |
| Mar 31, 2023 | 344.38 Mn |
| Dec 31, 2022 | 276.35 Mn |
| Sep 30, 2022 | 117.87 Mn |
| Jun 30, 2022 | 126.45 Mn |
| Mar 31, 2022 | 114.66 Mn |
| Dec 31, 2021 | 150.02 Mn |
| Sep 30, 2021 | 251.16 Mn |
| Jun 30, 2021 | 551.38 Mn |
iHuman Market Capitalization 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=market-capitalization&ticker=IH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();