iHuman (IH) EBIT (2019 - 2026)
iHuman (IH) reported EBIT of -$1.46 million for the quarter ended Mar 31, 2026, compared with $2.97 million a year earlier.
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Analysis
iHuman (IH) EBIT (2019 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, iHuman's EBIT came in at $4.85 million, down 53.8% year-over-year; for the year ended Dec 31, 2025, it came in at $9.41 million, down 6.0% from the prior year.
- By year, EBIT came in at $10.01 million in the year ended Dec 31, 2024 (-54.9%), $22.21 million in the year ended Dec 31, 2023 (+37.3%), $16.18 million in the year ended Dec 31, 2022 and -$8.51 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the lowest quarterly EBIT since the quarter ended Dec 31, 2021.
- Year over year, EBIT gained in two of the last seven quarters, with an average decline of 24.1%.
- The high point for year-over-year EBIT in five years was the quarter ended Mar 31, 2023 (growth of 366.0%); the low point was the quarter ended Mar 31, 2024 (a decline of 70.5%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $1.29 million (quarter ended Dec 31, 2025), $2.33 million (quarter ended Sep 30, 2025) and $2.69 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | -1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.46 Mn |
| Dec 31, 2025 | 1.29 Mn |
| Sep 30, 2025 | 2.33 Mn |
| Jun 30, 2025 | 2.69 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 2.04 Mn |
| Sep 30, 2024 | 2.89 Mn |
| Jun 30, 2024 | 2.60 Mn |
| Mar 31, 2024 | 2.44 Mn |
| Dec 31, 2023 | 3.09 Mn |
| Sep 30, 2023 | 5.58 Mn |
| Jun 30, 2023 | 5.84 Mn |
| Mar 31, 2023 | 8.29 Mn |
| Dec 31, 2022 | 5.68 Mn |
| Sep 30, 2022 | 5.63 Mn |
| Jun 30, 2022 | 3.43 Mn |
| Mar 31, 2022 | 1.78 Mn |
| Dec 31, 2021 | -1.66 Mn |
| Sep 30, 2021 | -6.78 Mn |
| Jun 30, 2021 | -534,216.78 |
API Access
iHuman EBIT 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=ebit&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();