Aurora Mobile (JG) Intangibles (2017 - 2026)
Aurora Mobile's Intangibles came in at $1.15 million for Q2 2026, down 31.7% from $1.69 million a year earlier and down 10.3% from the prior quarter.
Powered by 
Analysis
Aurora Mobile (JG) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile's Intangibles was $1.43 million, down 24.4% from FY2024.
- Intangibles has declined in each of the last three years, with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- Going back by year, Intangibles was $1.89 million in FY2024 (-25.4%), $2.53 million in FY2023 (-27.2%), $3.47 million in FY2022 (+309.9%) and $847,000 in FY2021 (-41.9%).
- The Q2 2026 figure represents the lowest quarterly Intangibles since Q4 2021.
- Year-over-year, Intangibles has declined for 14 consecutive quarters, with an average decline of 25.1% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q4 2022 (growth of 298.8%), and the weakest in Q4 2021 (a decline of 41.2%).
- Business Quant data shows JG's Intangibles at $1.29 million (Q1 2026), $1.41 million (Q4 2025) and $1.61 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 80.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 281.58 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 214.36 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 736.00 Mn |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn | 1.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15 Mn |
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.41 Mn |
| Sep 30, 2025 | 1.61 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.76 Mn |
| Dec 31, 2024 | 1.92 Mn |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.17 Mn |
| Mar 31, 2024 | 2.34 Mn |
| Dec 31, 2023 | 2.49 Mn |
| Sep 30, 2023 | 2.68 Mn |
| Jun 30, 2023 | 2.88 Mn |
| Mar 31, 2023 | 3.25 Mn |
| Dec 31, 2022 | 3.37 Mn |
| Sep 30, 2022 | 3.54 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 4.49 Mn |
| Dec 31, 2021 | 844,298.97 |
| Sep 30, 2021 | 1.06 Mn |
API Access
Aurora Mobile Intangibles 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=intangibles&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();