iHuman (IH) Price to Earnings (2020 - 2026)
iHuman's Price to Earnings came in at 42.46 for the quarter ended Jun 30, 2026, up 153.5% from 16.75 a year earlier and up 153.1% from the prior quarter.
Powered by 
Analysis
iHuman (IH) Price to Earnings (2020 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, iHuman's Price to Earnings was 15.62, up 23.4% from the prior year.
- Going back by year, Price to Earnings was 12.66 in the year ended Dec 31, 2024 (-1.8%), 12.89 in the year ended Dec 31, 2023 (-25.7%) and 17.36 in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Price to Earnings since the quarter ended Sep 30, 2021.
- Year-over-year, Price to Earnings has increased for eight consecutive quarters, with growth averaging 49.8% over the last eight quarters.
- The fastest year-over-year change in Price to Earnings over five years came in the quarter ended Jun 30, 2026 (growth of 153.5%), and the weakest in the quarter ended Sep 30, 2022 (a decline of 82.1%).
- Business Quant data shows IH's Price to Earnings at 16.78 (quarter ended Mar 31, 2026), 15.97 (quarter ended Dec 31, 2025) and 20.16 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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 | 42.46 |
| Mar 31, 2026 | 16.78 |
| Dec 31, 2025 | 15.97 |
| Sep 30, 2025 | 20.16 |
| Jun 30, 2025 | 16.75 |
| Mar 31, 2025 | 15.14 |
| Dec 31, 2024 | 12.48 |
| Sep 30, 2024 | 16.17 |
| Jun 30, 2024 | 10.05 |
| Mar 31, 2024 | 8.42 |
| Dec 31, 2023 | 12.34 |
| Sep 30, 2023 | 12.06 |
| Jun 30, 2023 | 12.62 |
| Mar 31, 2023 | 15.50 |
| Dec 31, 2022 | 17.14 |
| Sep 30, 2022 | 11.90 |
| Sep 30, 2021 | 66.37 |
| Jun 30, 2021 | 51.69 |
| Mar 31, 2021 | 56.16 |
| Dec 31, 2020 | 88.01 |
API Access
iHuman Price to Earnings 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=price-to-earnings&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();