Aurora Mobile (JG) Current Assets (2017 - 2026)
Aurora Mobile (JG) posted Current Assets of $32.71 million for Q2 2026, up 23.1% from $26.58 million a year earlier and up 11.1% from the prior quarter.
Aurora Mobile (JG) Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile's Current Assets came in at $33.17 million, up 31.1% from FY2024.
- Annual Current Assets shows a five-year compound annual growth rate of -16.4% (FY2020 to FY2025).
- In prior years, Aurora Mobile's Current Assets was $25.29 million in FY2024 (+5.9%), $23.88 million in FY2023 (-6.7%), $25.61 million in FY2022 (-57.2%) and $59.81 million in FY2021 (-26.4%).
- The Q2 2026 figure stands as the highest quarterly Current Assets since Q1 2022.
- On a year-over-year basis, Current Assets has increased in each of the last nine quarters, with growth averaging 18.6% over the last eight quarters.
- The strongest year-over-year quarter for Current Assets in the past five years was Q4 2025, with growth of 27.3%; the weakest was Q1 2023, with a decline of 62.3%.
- According to Business Quant data, Current Assets for the three prior quarters was $29.45 million (Q1 2026), $32.71 million (Q4 2025) and $28.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 8.64 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 6.96 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 6.21 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.49 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 6.01 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.00 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 3.09 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 5.03 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 30.56 Bn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 32.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.71 Mn |
| Mar 31, 2026 | 29.45 Mn |
| Dec 31, 2025 | 32.71 Mn |
| Sep 30, 2025 | 28.20 Mn |
| Jun 30, 2025 | 26.58 Mn |
| Mar 31, 2025 | 25.50 Mn |
| Dec 31, 2024 | 25.70 Mn |
| Sep 30, 2024 | 23.06 Mn |
| Jun 30, 2024 | 21.55 Mn |
| Mar 31, 2024 | 21.54 Mn |
| Dec 31, 2023 | 23.55 Mn |
| Sep 30, 2023 | 21.01 Mn |
| Jun 30, 2023 | 20.17 Mn |
| Mar 31, 2023 | 21.66 Mn |
| Dec 31, 2022 | 24.84 Mn |
| Sep 30, 2022 | 24.23 Mn |
| Jun 30, 2022 | 27.08 Mn |
| Mar 31, 2022 | 57.47 Mn |
| Dec 31, 2021 | 59.61 Mn |
| Sep 30, 2021 | 59.23 Mn |
Aurora Mobile Current Assets 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=current-assets&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-assets", "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=current-assets&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();