Aurora Mobile (JG) Shares Outstanding (2016 - 2026)
Aurora Mobile (JG) reported Shares Outstanding of 633.58 million for Q2 2026, down 20.6% from 798.03 million a year earlier and unchanged from the prior quarter.
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Analysis
Aurora Mobile (JG) Shares Outstanding (2016 - 2026) Analysis & Trends
Dating back to Q4 2016, Aurora Mobile's Shares Outstanding record includes 38 quarters.
- Shares Outstanding has a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- By year, Shares Outstanding came in at 798.03 million in FY2024 (+0.1%), 796.89 million in FY2023 (+27.9%), 622.96 million in FY2022 (-21.0%) and 788.1 million in FY2021 (+30.4%).
- Five-year quarterly Shares Outstanding spans a low of 604.16 million in Q3 2021 and a high of 798.03 million in Q3 2025.
- Year over year, Shares Outstanding has now declined in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The high point for year-over-year Shares Outstanding in five years was Q3 2022 (growth of 30.4%); the low point was Q3 2021 (a decline of 21.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 633.58 million (Q1 2026), 633.58 million (Q4 2025) and 798.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 749.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 733.10 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 356.25 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 174.30 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 80.57 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 34.38 Mn |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn | 633.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 633.58 Mn |
| Mar 31, 2026 | 633.58 Mn |
| Dec 31, 2025 | 633.58 Mn |
| Sep 30, 2025 | 798.03 Mn |
| Jun 30, 2025 | 798.03 Mn |
| Mar 31, 2025 | 798.03 Mn |
| Dec 31, 2024 | 798.03 Mn |
| Sep 30, 2024 | 796.89 Mn |
| Jun 30, 2024 | 796.89 Mn |
| Mar 31, 2024 | 796.89 Mn |
| Dec 31, 2023 | 796.89 Mn |
| Sep 30, 2023 | 622.96 Mn |
| Jun 30, 2023 | 622.96 Mn |
| Mar 31, 2023 | 622.96 Mn |
| Dec 31, 2022 | 622.96 Mn |
| Sep 30, 2022 | 788.10 Mn |
| Jun 30, 2022 | 788.10 Mn |
| Mar 31, 2022 | 788.10 Mn |
| Dec 31, 2021 | 788.10 Mn |
| Sep 30, 2021 | 604.16 Mn |
API Access
Aurora Mobile Shares Outstanding 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=shares-outstanding&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();