Aurora Mobile (JG) Revenue (2017 - 2026)
Aurora Mobile (JG) reported Revenue of $14.92 million for Q2 2026, up 18.9% from $12.54 million a year earlier and up 10.3% from the prior quarter.
Aurora Mobile (JG) Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aurora Mobile's Revenue came in at $56.24 million, up 15.2% year-over-year; for FY2025, it came in at $53.6 million, up 23.7% from FY2024.
- Revenue has a five-year compound annual growth rate of -4.8% (FY2020 to FY2025).
- By year, Revenue came in at $43.32 million in FY2024 (+6.0%), $40.88 million in FY2023 (-14.3%), $47.68 million in FY2022 (-15.0%) and $56.07 million in FY2021 (-18.0%).
- Five-year quarterly Revenue spans a low of $8.94 million in Q1 2024 and a high of $15.88 million in Q4 2021.
- Year over year, Revenue has now increased in each of the last nine quarters, with growth averaging 17.5% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2025 (growth of 37.2%); the low point was Q1 2023 (a decline of 29.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.52 million (Q1 2026), $15.04 million (Q4 2025) and $12.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 14.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.92 Mn |
| Mar 31, 2026 | 13.52 Mn |
| Dec 31, 2025 | 15.04 Mn |
| Sep 30, 2025 | 12.77 Mn |
| Jun 30, 2025 | 12.54 Mn |
| Mar 31, 2025 | 12.26 Mn |
| Dec 31, 2024 | 12.76 Mn |
| Sep 30, 2024 | 11.27 Mn |
| Jun 30, 2024 | 10.93 Mn |
| Mar 31, 2024 | 8.94 Mn |
| Dec 31, 2023 | 10.90 Mn |
| Sep 30, 2023 | 10.15 Mn |
| Jun 30, 2023 | 10.11 Mn |
| Mar 31, 2023 | 9.53 Mn |
| Dec 31, 2022 | 12.60 Mn |
| Sep 30, 2022 | 11.31 Mn |
| Jun 30, 2022 | 11.37 Mn |
| Mar 31, 2022 | 13.46 Mn |
| Dec 31, 2021 | 15.88 Mn |
| Sep 30, 2021 | 14.05 Mn |
Aurora Mobile Revenue 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=revenue&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();