Aurora Mobile (JG) Cash & Equivalents (2016 - 2026)
Aurora Mobile's Cash & Equivalents was $22.42 million in Q2 2026, up 34.5% from $16.67 million a year earlier and up 16.6% from the prior quarter.
Aurora Mobile (JG) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Aurora Mobile came in at $24.02 million, up 47.1% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -15.5% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $16.33 million in FY2024 (+1.2%), $16.13 million in FY2023 (-1.4%), $16.36 million in FY2022 (+24.6%) and $13.13 million in FY2021 (-76.5%).
- Quarterly Cash & Equivalents has moved between $11.12 million (Q2 2023) and $23.68 million (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 20.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2025 (growth of 42.7%); the worst was Q4 2021 (a decline of 73.6%).
- Per Business Quant data, JG's Cash & Equivalents in the three quarters before Q2 2026 was $19.23 million (Q1 2026), $23.68 million (Q4 2025) and $12.98 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 928.35 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn | 22.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.42 Mn |
| Mar 31, 2026 | 19.23 Mn |
| Dec 31, 2025 | 23.68 Mn |
| Sep 30, 2025 | 12.98 Mn |
| Jun 30, 2025 | 16.67 Mn |
| Mar 31, 2025 | 15.61 Mn |
| Dec 31, 2024 | 16.59 Mn |
| Sep 30, 2024 | 14.36 Mn |
| Jun 30, 2024 | 12.68 Mn |
| Mar 31, 2024 | 13.59 Mn |
| Dec 31, 2023 | 15.91 Mn |
| Sep 30, 2023 | 12.05 Mn |
| Jun 30, 2023 | 11.12 Mn |
| Mar 31, 2023 | 12.85 Mn |
| Dec 31, 2022 | 16.33 Mn |
| Sep 30, 2022 | 12.37 Mn |
| Jun 30, 2022 | 13.71 Mn |
| Mar 31, 2022 | 17.04 Mn |
| Dec 31, 2021 | 14.16 Mn |
| Sep 30, 2021 | 13.58 Mn |
Aurora Mobile Cash & Equivalents 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=cash-and-equivalents&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();