Aurora Mobile (JG) Other Operating Expenses (2017 - 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 (2017 - 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 | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Aurora Mobile | 24.23 Mn | -64.14 Mn | 10.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.17 Mn |
| Mar 31, 2026 | 3.72 Mn |
| Dec 31, 2025 | 4.04 Mn |
| Sep 30, 2025 | 3.71 Mn |
| Jun 30, 2025 | 3.13 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | 3.34 Mn |
| Sep 30, 2024 | 3.15 Mn |
| Jun 30, 2024 | 2.77 Mn |
| Mar 31, 2024 | 2.36 Mn |
| Dec 31, 2023 | 3.11 Mn |
| Sep 30, 2023 | 2.86 Mn |
| Jun 30, 2023 | 2.51 Mn |
| Mar 31, 2023 | 2.43 Mn |
| Dec 31, 2022 | 2.75 Mn |
| Sep 30, 2022 | 2.57 Mn |
| Jun 30, 2022 | 2.53 Mn |
| Mar 31, 2022 | 3.10 Mn |
| Dec 31, 2021 | 4.13 Mn |
| Sep 30, 2021 | 3.46 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();