iHuman (IH) Revenue (2019 - 2026)
iHuman (IH) recorded Revenue of $26.46 million in the quarter ended Mar 31, 2026, down 8.8% from $29 million a year earlier and down 3.0% from the prior quarter.
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Analysis
iHuman (IH) Revenue (2019 - 2026) Analysis & Trends
On a TTM basis, iHuman's Revenue came in at $110.56 million as of Mar 31, 2026, down 11.3% year-over-year; for the year ended Dec 31, 2025, it came in at $115.4 million, down 8.7% from the prior year.
- Annual Revenue has a five-year compound annual growth rate of 7.2% (years ended Dec 2020 to Dec 2025).
- Across earlier years, Revenue came in at $126.34 million in the year ended Dec 31, 2024 (-11.9%), $143.4 million in the year ended Dec 31, 2023 (+0.4%), $142.89 million in the year ended Dec 31, 2022 (-3.6%) and $148.25 million in the year ended Dec 31, 2021 (+81.9%).
- The figure for the quarter ended Mar 31, 2026 is the lowest quarterly Revenue since the quarter ended Sep 30, 2020.
- On a year-over-year basis, Revenue has declined for ten consecutive quarters, with an average decline of 10.1% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 125.9% in the quarter ended Jun 30, 2021, against a decline of 15.7% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $27.26 million (quarter ended Dec 31, 2025), $28.9 million (quarter ended Sep 30, 2025) and $27.94 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.91 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 600.05 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 972.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 297.79 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 925.00 Mn |
| 10 | iHuman | 117.55 Mn | -157.98 Bn | 17.68 Mn | 26.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 26.46 Mn |
| Dec 31, 2025 | 27.26 Mn |
| Sep 30, 2025 | 28.90 Mn |
| Jun 30, 2025 | 27.94 Mn |
| Mar 31, 2025 | 29.00 Mn |
| Dec 31, 2024 | 31.88 Mn |
| Sep 30, 2024 | 34.12 Mn |
| Jun 30, 2024 | 29.60 Mn |
| Mar 31, 2024 | 32.55 Mn |
| Dec 31, 2023 | 35.28 Mn |
| Sep 30, 2023 | 35.84 Mn |
| Jun 30, 2023 | 33.23 Mn |
| Mar 31, 2023 | 38.62 Mn |
| Dec 31, 2022 | 37.80 Mn |
| Sep 30, 2022 | 35.36 Mn |
| Jun 30, 2022 | 34.43 Mn |
| Mar 31, 2022 | 38.28 Mn |
| Dec 31, 2021 | 37.32 Mn |
| Sep 30, 2021 | 40.19 Mn |
| Jun 30, 2021 | 34.27 Mn |
API Access
iHuman Revenue 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=revenue&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();