Aurora Mobile (JG) Non-Current Assets (2017 - 2026)
Aurora Mobile's Non-Current Assets was $70.17 million in Q2 2026, down 1.9% from $71.49 million a year earlier but up 166.0% from the prior quarter.
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Analysis
Aurora Mobile (JG) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Aurora Mobile came in at $75.23 million, up 5.2% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $71.5 million in FY2024 (+3.8%), $68.9 million in FY2023 (-15.8%), $81.83 million in FY2022 (+20.1%) and $68.16 million in FY2021 (+72.9%).
- Quarterly Non-Current Assets has moved between $24.56 million (Q2 2024) and $90.46 million (Q2 2022) over five years.
- Compared with a year earlier, Non-Current Assets was higher in five of the last eight quarters, with growth averaging 24.7%.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2025 (growth of 191.1%); the worst was Q2 2023 (a decline of 65.6%).
- Per Business Quant data, JG's Non-Current Assets in the three quarters before Q2 2026 was $26.38 million (Q1 2026), $74.18 million (Q4 2025) and $26.32 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 70.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 70.17 Mn |
| Mar 31, 2026 | 26.38 Mn |
| Dec 31, 2025 | 74.18 Mn |
| Sep 30, 2025 | 26.32 Mn |
| Jun 30, 2025 | 71.49 Mn |
| Mar 31, 2025 | 26.31 Mn |
| Dec 31, 2024 | 72.65 Mn |
| Sep 30, 2024 | 27.87 Mn |
| Jun 30, 2024 | 24.56 Mn |
| Mar 31, 2024 | 24.77 Mn |
| Dec 31, 2023 | 67.94 Mn |
| Sep 30, 2023 | 28.27 Mn |
| Jun 30, 2023 | 31.12 Mn |
| Mar 31, 2023 | 36.06 Mn |
| Dec 31, 2022 | 79.36 Mn |
| Sep 30, 2022 | 38.33 Mn |
| Jun 30, 2022 | 90.46 Mn |
| Mar 31, 2022 | 41.21 Mn |
| Dec 31, 2021 | 84.31 Mn |
| Sep 30, 2021 | 38.08 Mn |
API Access
Aurora Mobile Non-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=non-current-assets&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-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=non-current-assets&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();