Aurora Mobile (JG) Goodwill & Intangibles (2017 - 2026)
Aurora Mobile's Goodwill & Intangibles was $6.7 million in Q2 2026, down 3.8% from $6.96 million a year earlier and down 1.0% from the prior quarter.
Aurora Mobile (JG) Goodwill & Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2025, Goodwill & Intangibles at Aurora Mobile came in at $6.83 million, down 3.3% from FY2024.
- Goodwill & Intangibles has now declined for three consecutive years, though with a five-year compound annual growth rate of 36.2% (FY2020 to FY2025).
- In earlier years, Goodwill & Intangibles was $7.06 million in FY2024 (-10.0%), $7.85 million in FY2023 (-12.3%), $8.95 million in FY2022 (+956.7%) and $847,000 in FY2021 (-41.9%).
- The Q2 2026 figure marks the lowest quarterly Goodwill & Intangibles since Q4 2021.
- Compared with a year earlier, Goodwill & Intangibles has declined for 14 straight quarters, with an average decline of 5.8% over the last eight quarters.
- The best year-over-year quarter for Goodwill & Intangibles over five years was Q4 2022 (growth of 928.0%); the worst was Q4 2021 (a decline of 41.2%).
- Per Business Quant data, JG's Goodwill & Intangibles in the three quarters before Q2 2026 was $6.76 million (Q1 2026), $6.73 million (Q4 2025) and $6.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.70 Mn |
| Mar 31, 2026 | 6.76 Mn |
| Dec 31, 2025 | 6.73 Mn |
| Sep 30, 2025 | 6.92 Mn |
| Jun 30, 2025 | 6.96 Mn |
| Mar 31, 2025 | 6.97 Mn |
| Dec 31, 2024 | 7.18 Mn |
| Sep 30, 2024 | 7.48 Mn |
| Jun 30, 2024 | 7.37 Mn |
| Mar 31, 2024 | 7.58 Mn |
| Dec 31, 2023 | 7.74 Mn |
| Sep 30, 2023 | 7.86 Mn |
| Jun 30, 2023 | 8.09 Mn |
| Mar 31, 2023 | 8.76 Mn |
| Dec 31, 2022 | 8.68 Mn |
| Sep 30, 2022 | 8.85 Mn |
| Jun 30, 2022 | 9.64 Mn |
| Mar 31, 2022 | 10.45 Mn |
| Dec 31, 2021 | 844,298.97 |
| Sep 30, 2021 | 1.06 Mn |
Aurora Mobile Goodwill & 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=goodwill-and-intangibles&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();