iHuman (IH) Long-Term Investments (2021 - 2026)
iHuman (IH) reported Long-Term Investments of $3.82 million for the quarter ended Mar 31, 2026, up 5.2% from $3.63 million a year earlier and up 2.8% from the prior quarter.
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Analysis
iHuman (IH) Long-Term Investments (2021 - 2026) Analysis & Trends
As of Dec 31, 2025, iHuman posted Long-Term Investments of $3.77 million, up 4.4% from the prior year.
- Long-Term Investments has a four-year compound annual growth rate of -29.9% (years ended Dec 2021 to Dec 2025).
- By year, Long-Term Investments came in at $3.61 million in the year ended Dec 31, 2024 (-2.7%), $3.71 million in the year ended Dec 31, 2023 (-2.9%), $3.82 million in the year ended Dec 31, 2022 (-75.5%) and $15.59 million in the year ended Dec 31, 2021.
- Five-year quarterly Long-Term Investments spans a low of -$3.7 million in the quarter ended Dec 31, 2022 and a high of $3.7 billion in the quarter ended Sep 30, 2025.
- Year over year, Long-Term Investments gained in five of the last seven quarters, with growth averaging 1.6%.
- The high point for year-over-year Long-Term Investments in five years was the quarter ended Mar 31, 2026 (growth of 5.2%); the low point was the quarter ended Mar 31, 2023 (a decline of 7.7%).
- Per Business Quant data, the three quarters before the quarter ended Mar 31, 2026 came in at $3.71 million (quarter ended Dec 31, 2025), $3.7 billion (quarter ended Sep 30, 2025) and $3.68 million (quarter ended Jun 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 496.78 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 102.69 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 617.40 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | - |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | - |
| 10 | iHuman | 113.46 Mn | -157.98 Bn | 16.39 Mn | 3.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.88 Mn |
| Mar 31, 2026 | 3.82 Mn |
| Dec 31, 2025 | 3.71 Mn |
| Sep 30, 2025 | 3.70 Bn |
| Jun 30, 2025 | 3.68 Mn |
| Mar 31, 2025 | 3.63 Mn |
| Dec 31, 2024 | 3.67 Mn |
| Sep 30, 2024 | 3.75 Mn |
| Jun 30, 2024 | 3.62 Mn |
| Mar 31, 2024 | 3.65 Mn |
| Dec 31, 2023 | 3.66 Mn |
| Sep 30, 2023 | 3.61 Mn |
| Jun 30, 2023 | 3.63 Mn |
| Mar 31, 2023 | 3.83 Mn |
| Dec 31, 2022 | -3.70 Mn |
| Sep 30, 2022 | 3.70 Mn |
| Jun 30, 2022 | 3.93 Mn |
| Mar 31, 2022 | 4.15 Mn |
| Dec 31, 2021 | 15.59 Mn |
API Access
iHuman Long-Term Investments 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=long-term-investments&ticker=IH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=IH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();