Aurora Mobile (JG) Operating Expenses (2016 - 2026)
Aurora Mobile's Operating Expenses was -$9.96 million in Q2 2026, compared with -$8.49 million a year earlier.
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Analysis
Aurora Mobile (JG) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aurora Mobile's Operating Expenses was -$19.16 million through Jun 30, 2026; for FY2025, it was -$36.31 million.
- In earlier years, Operating Expenses was -$30.85 million in FY2024, -$35.24 million in FY2023, -$51.94 million in FY2022 and -$63.25 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Operating Expenses since Q4 2022.
- Per Business Quant data, JG's Operating Expenses in the three quarters before Q2 2026 was $9.58 million (Q1 2026), -$9.75 million (Q4 2025) and -$9.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | -9.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.96 Mn |
| Mar 31, 2026 | 9.58 Mn |
| Dec 31, 2025 | -9.75 Mn |
| Sep 30, 2025 | -9.04 Mn |
| Jun 30, 2025 | -8.49 Mn |
| Mar 31, 2025 | -8.35 Mn |
| Dec 31, 2024 | -8.26 Mn |
| Sep 30, 2024 | -8.13 Mn |
| Jun 30, 2024 | -7.54 Mn |
| Mar 31, 2024 | -7.34 Mn |
| Dec 31, 2023 | -8.62 Mn |
| Sep 30, 2023 | -8.22 Mn |
| Jun 30, 2023 | -8.84 Mn |
| Mar 31, 2023 | -9.44 Mn |
| Dec 31, 2022 | -13.83 Mn |
| Sep 30, 2022 | -11.25 Mn |
| Jun 30, 2022 | -13.10 Mn |
| Mar 31, 2022 | -14.90 Mn |
| Dec 31, 2021 | -14.52 Mn |
| Sep 30, 2021 | -16.09 Mn |
API Access
Aurora Mobile Operating Expenses 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=operating-expenses&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();