Aurora Mobile (JG) Shares Outstanding (Diluted) (2017 - 2026)
Aurora Mobile's Shares Outstanding (Diluted) came in at 803.58 million for Q2 2026, up 0.7% from 798.03 million a year earlier and unchanged from the prior quarter.
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Analysis
Aurora Mobile (JG) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
Going back to Q4 2017, Aurora Mobile's Shares Outstanding (Diluted) data covers 35 quarters.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.7% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 798.03 million in FY2024 (+27.3%), 626.89 million in FY2023 (-20.9%), 792.96 million in FY2022 (+0.6%) and 788.1 million in FY2021 (+1.8%).
- Year-over-year, Shares Outstanding (Diluted) has increased for seven consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2021 (growth of 29.6%), and the weakest in Q4 2023 (a decline of 20.9%).
- Business Quant data shows JG's Shares Outstanding (Diluted) at 803.58 million (Q1 2026), 803.58 million (Q4 2025) and 798.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 739.90 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 | 371.02 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 178.81 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 82.54 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 160.22 Mn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 42.88 Mn |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn | 803.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 803.58 Mn |
| Mar 31, 2026 | 803.58 Mn |
| Dec 31, 2025 | 803.58 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 | 626.89 Mn |
| Jun 30, 2024 | 626.89 Mn |
| Mar 31, 2024 | 626.89 Mn |
| Dec 31, 2023 | 626.89 Mn |
| Sep 30, 2023 | 792.96 Mn |
| Jun 30, 2023 | 792.96 Mn |
| Mar 31, 2023 | 792.96 Mn |
| Dec 31, 2022 | 792.96 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 | 774.16 Mn |
API Access
Aurora Mobile Shares Outstanding (Diluted) 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-diluted&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();