Aurora Mobile (JG) Long-Term Investments (2017 - 2026)
Aurora Mobile (JG) recorded Long-Term Investments of $16.42 million in Q2 2026, up 3.8% from $15.82 million a year earlier and up 1.1% from the prior quarter.
Aurora Mobile (JG) Long-Term Investments (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile reported Long-Term Investments of $16.1 million, up 3.6% from FY2024.
- Annual Long-Term Investments has a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Investments came in at $15.55 million in FY2024 (-2.2%), $15.9 million in FY2023 (-22.7%), $20.57 million in FY2022 (-7.6%) and $22.27 million in FY2021 (-13.8%).
- The Q2 2026 figure is the highest quarterly Long-Term Investments since Q3 2023.
- On a year-over-year basis, Long-Term Investments has increased for three consecutive quarters, with an average decline of 0.5% over the last eight quarters.
- Peak year-over-year performance for Long-Term Investments in the last five years was growth of 3.8% in Q1 2026, against a decline of 23.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $16.24 million (Q1 2026), $15.88 million (Q4 2025) and $15.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 4.84 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 69.26 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 399.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.98 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | - |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 853.84 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 6.32 Bn |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn | 16.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.42 Mn |
| Mar 31, 2026 | 16.24 Mn |
| Dec 31, 2025 | 15.88 Mn |
| Sep 30, 2025 | 15.88 Mn |
| Jun 30, 2025 | 15.82 Mn |
| Mar 31, 2025 | 15.64 Mn |
| Dec 31, 2024 | 15.80 Mn |
| Sep 30, 2024 | 16.03 Mn |
| Jun 30, 2024 | 15.57 Mn |
| Mar 31, 2024 | 15.65 Mn |
| Dec 31, 2023 | 15.68 Mn |
| Sep 30, 2023 | 18.50 Mn |
| Jun 30, 2023 | 19.36 Mn |
| Mar 31, 2023 | 20.55 Mn |
| Dec 31, 2022 | 19.95 Mn |
| Sep 30, 2022 | 20.09 Mn |
| Jun 30, 2022 | 20.90 Mn |
| Mar 31, 2022 | 21.66 Mn |
| Dec 31, 2021 | 22.20 Mn |
| Sep 30, 2021 | 25.70 Mn |
Aurora Mobile 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=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "JG", "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=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();