Aurora Mobile (JG) Other Operating Expenses (2016 - 2026)
Aurora Mobile (JG) recorded Other Operating Expenses of -$4.17 million in Q2 2026, compared with -$3.16 million a year earlier.
Aurora Mobile (JG) Other Operating Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Aurora Mobile's Other Operating Expenses came in at -$8.22 million as of Jun 30, 2026; for FY2025, it was -$14.44 million.
- Across earlier years, Other Operating Expenses came in at -$11.63 million in FY2024, -$11.65 million in FY2023, -$14.26 million in FY2022 and -$18.27 million in FY2021.
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q4 2021.
- Per Business Quant, the preceding three quarters came in at $3.75 million (Q1 2026), -$4.07 million (Q4 2025) and -$3.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -4.17 Mn |
| Mar 31, 2026 | 3.75 Mn |
| Dec 31, 2025 | -4.07 Mn |
| Sep 30, 2025 | -3.74 Mn |
| Jun 30, 2025 | -3.16 Mn |
| Mar 31, 2025 | -3.21 Mn |
| Dec 31, 2024 | -3.37 Mn |
| Sep 30, 2024 | -3.20 Mn |
| Jun 30, 2024 | -2.82 Mn |
| Mar 31, 2024 | -2.41 Mn |
| Dec 31, 2023 | -3.11 Mn |
| Sep 30, 2023 | -2.98 Mn |
| Jun 30, 2023 | -2.76 Mn |
| Mar 31, 2023 | -2.75 Mn |
| Dec 31, 2022 | -3.55 Mn |
| Sep 30, 2022 | -3.40 Mn |
| Jun 30, 2022 | -3.48 Mn |
| Mar 31, 2022 | -4.15 Mn |
| Dec 31, 2021 | -5.20 Mn |
| Sep 30, 2021 | -4.56 Mn |
Aurora Mobile Other 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=other-operating-expenses&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();