Aurora Mobile (JG) Return on Sales [ROS] (2017 - 2026)
Aurora Mobile's Return on Sales [ROS] was 1.59% in Q2 2026, up 2.65 percentage points from -1.06% a year earlier and up 1.09 percentage points from the prior quarter.
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Analysis
Aurora Mobile (JG) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Aurora Mobile's Return on Sales [ROS] was 1.35% through Jun 30, 2026, up 3.19 percentage points year-over-year; for FY2025, it was 0.19%, up 3.32 percentage points from FY2024.
- Return on Sales [ROS] has now increased for three consecutive years, with a five-year change of +47.04 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -3.13% in FY2024 (+14.40 pp), -17.53% in FY2023 (+22.75 pp), -40.28% in FY2022 (-1.62 pp) and -38.66% in FY2021 (+8.20 pp).
- Quarterly Return on Sales [ROS] has moved between -44.98% (Q2 2022) and 2.61% (Q4 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for 14 straight quarters, with an average year-over-year change of +4.36 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 30.70 percentage points); the worst was Q4 2022 (a drop of 20.71 percentage points).
- Per Business Quant data, JG's Return on Sales [ROS] in the three quarters before Q2 2026 was 0.50% (Q1 2026), 2.61% (Q4 2025) and 0.49% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn | 1.59% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.59% |
| Mar 31, 2026 | 0.50% |
| Dec 31, 2025 | 2.61% |
| Sep 30, 2025 | 0.49% |
| Jun 30, 2025 | -1.06% |
| Mar 31, 2025 | -1.74% |
| Dec 31, 2024 | -0.24% |
| Sep 30, 2024 | -4.61% |
| Jun 30, 2024 | -1.24% |
| Mar 31, 2024 | -7.83% |
| Dec 31, 2023 | -10.24% |
| Sep 30, 2023 | -10.37% |
| Jun 30, 2023 | -22.38% |
| Mar 31, 2023 | -28.81% |
| Dec 31, 2022 | -40.95% |
| Sep 30, 2022 | -32.33% |
| Jun 30, 2022 | -44.98% |
| Mar 31, 2022 | -42.14% |
| Dec 31, 2021 | -20.24% |
| Sep 30, 2021 | -40.16% |
API Access
Aurora Mobile Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();