Aurora Mobile (JG) Cost of Revenue (2017 - 2026)
Aurora Mobile's Cost of Revenue came in at $4.72 million for Q2 2026, up 11.9% from $4.22 million a year earlier and up 20.6% from the prior quarter.
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Analysis
Aurora Mobile (JG) Cost of Revenue (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Aurora Mobile reported Cost of Revenue of $17.52 million, up 2.8% year-over-year; for FY2025, it came in at $17.58 million, up 19.8% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of -15.4% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $14.68 million in FY2024 (+14.6%), $12.81 million in FY2023 (-14.3%), $14.94 million in FY2022 (+3.1%) and $14.5 million in FY2021 (-64.4%).
- The five-year range for quarterly Cost of Revenue is $2.51 million (Q1 2024) to $5.08 million (Q4 2025).
- Year-over-year, Cost of Revenue increased in seven of the last eight quarters, with growth averaging 20.2%.
- The fastest year-over-year change in Cost of Revenue over five years came in Q1 2025 (growth of 65.1%), and the weakest in Q3 2021 (a decline of 57.6%).
- Business Quant data shows JG's Cost of Revenue at $3.92 million (Q1 2026), $5.08 million (Q4 2025) and $3.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 164.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 357.94 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 202.01 Mn |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn | 4.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.72 Mn |
| Mar 31, 2026 | 3.92 Mn |
| Dec 31, 2025 | 5.08 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 4.22 Mn |
| Mar 31, 2025 | 4.15 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 3.68 Mn |
| Jun 30, 2024 | 3.67 Mn |
| Mar 31, 2024 | 2.51 Mn |
| Dec 31, 2023 | 3.40 Mn |
| Sep 30, 2023 | 2.98 Mn |
| Jun 30, 2023 | 3.53 Mn |
| Mar 31, 2023 | 2.83 Mn |
| Dec 31, 2022 | 3.93 Mn |
| Sep 30, 2022 | 3.71 Mn |
| Jun 30, 2022 | 3.39 Mn |
| Mar 31, 2022 | 4.23 Mn |
| Dec 31, 2021 | 4.57 Mn |
| Sep 30, 2021 | 3.60 Mn |
API Access
Aurora Mobile Cost of Revenue 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=cost-of-revenue&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();