Aurora Mobile (JG) Assets (2017 - 2026)
Aurora Mobile (JG) recorded Assets of $59.47 million in Q2 2026, up 11.8% from $53.18 million a year earlier and up 6.5% from the prior quarter.
Powered by 
Analysis
Aurora Mobile (JG) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile reported Assets of $59.51 million, up 14.9% from FY2024.
- Annual Assets has a five-year compound annual growth rate of -13.2% (FY2020 to FY2025).
- Across earlier years, Assets came in at $51.79 million in FY2024 (+5.0%), $49.32 million in FY2023 (-21.5%), $62.79 million in FY2022 (-32.8%) and $93.45 million in FY2021 (-22.6%).
- The Q2 2026 figure is the highest quarterly Assets since Q4 2022.
- On a year-over-year basis, Assets has increased for eight consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 15.3% in Q2 2025, against a decline of 41.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $55.83 million (Q1 2026), $58.68 million (Q4 2025) and $54.53 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 7.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 9.14 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 7.87 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 69.26 Bn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 59.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.47 Mn |
| Mar 31, 2026 | 55.83 Mn |
| Dec 31, 2025 | 58.68 Mn |
| Sep 30, 2025 | 54.53 Mn |
| Jun 30, 2025 | 53.18 Mn |
| Mar 31, 2025 | 51.81 Mn |
| Dec 31, 2024 | 52.63 Mn |
| Sep 30, 2024 | 50.93 Mn |
| Jun 30, 2024 | 46.11 Mn |
| Mar 31, 2024 | 46.30 Mn |
| Dec 31, 2023 | 48.64 Mn |
| Sep 30, 2023 | 49.28 Mn |
| Jun 30, 2023 | 51.28 Mn |
| Mar 31, 2023 | 57.72 Mn |
| Dec 31, 2022 | 60.90 Mn |
| Sep 30, 2022 | 62.56 Mn |
| Jun 30, 2022 | 66.99 Mn |
| Mar 31, 2022 | 98.68 Mn |
| Dec 31, 2021 | 93.15 Mn |
| Sep 30, 2021 | 97.31 Mn |
API Access
Aurora Mobile Assets 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=assets&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();