Aurora Mobile (JG) Gross Margin (2017 - 2026)
Aurora Mobile (JG) recorded Gross Margin of 68.35% in Q2 2026, up 1.97 percentage points from 66.37% a year earlier but down 2.70 percentage points from the prior quarter.
Aurora Mobile (JG) Gross Margin (2017 - 2026) Analysis & Trends
On a TTM basis, Aurora Mobile's Gross Margin came in at 68.85% as of Jun 30, 2026, up 3.76 percentage points year-over-year; for FY2025, it came in at 67.20%, up 1.09 percentage points from FY2024.
- Annual Gross Margin has a five-year change of +20.99 percentage points (FY2020 to FY2025).
- Across earlier years, Gross Margin came in at 66.11% in FY2024 (-2.55 pp), 68.67% in FY2023 (+0.01 pp), 68.66% in FY2022 (-5.49 pp) and 74.14% in FY2021 (+27.93 pp).
- Quarterly Gross Margin has ranged from 60.85% in Q4 2024 to 74.41% in Q3 2021 over the past five years.
- On a year-over-year basis, Gross Margin has increased for four consecutive quarters, with an average year-over-year change of -0.24 percentage points over the last eight quarters.
- Peak year-over-year performance for Gross Margin in the last five years was a gain of 27.39 percentage points in Q3 2021, against a drop of 7.98 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 71.05% (Q1 2026), 66.25% (Q4 2025) and 70.16% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 67.57% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 74.57% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 80.24% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 67.02% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 78.59% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 60.42% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 79.63% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 0.03% |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn | 68.35% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.35% |
| Mar 31, 2026 | 71.05% |
| Dec 31, 2025 | 66.25% |
| Sep 30, 2025 | 70.16% |
| Jun 30, 2025 | 66.37% |
| Mar 31, 2025 | 66.15% |
| Dec 31, 2024 | 60.85% |
| Sep 30, 2024 | 67.31% |
| Jun 30, 2024 | 66.43% |
| Mar 31, 2024 | 71.87% |
| Dec 31, 2023 | 68.83% |
| Sep 30, 2023 | 70.62% |
| Jun 30, 2023 | 65.06% |
| Mar 31, 2023 | 70.29% |
| Dec 31, 2022 | 68.80% |
| Sep 30, 2022 | 67.17% |
| Jun 30, 2022 | 70.22% |
| Mar 31, 2022 | 68.56% |
| Dec 31, 2021 | 71.21% |
| Sep 30, 2021 | 74.41% |
Aurora Mobile Gross Margin 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=gross-margin&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-margin", "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=gross-margin&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();