Aurora Mobile (JG) Operating Leases (2017 - 2026)
Aurora Mobile (JG) posted Operating Leases of $550,000 for Q2 2026, down 17.3% from $665,000 a year earlier and down 1.3% from the prior quarter.
Analysis
Aurora Mobile (JG) Operating Leases (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile's Operating Leases came in at $569,000, down 6.9% from FY2024.
- Annual Operating Leases shows a five-year compound annual growth rate of -7.5% (FY2020 to FY2025).
- In prior years, Aurora Mobile's Operating Leases was $611,000 in FY2024 (+8.3%), $564,000 in FY2023 (-78.5%), $2.63 million in FY2022 (+411.5%) and $514,000 in FY2021 (-38.9%).
- The Q2 2026 figure stands as the lowest quarterly Operating Leases since Q2 2024.
- On a year-over-year basis, Operating Leases has declined in each of the last four quarters, with growth averaging 6.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2025, with growth of 74.5%; the weakest was Q2 2023, with a decline of 97.7%.
- According to Business Quant data, Operating Leases for the three prior quarters was $557,000 (Q1 2026), $561,433 (Q4 2025) and $571,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | Aurora Mobile | 5.16 Bn | 5.09 Bn | 10.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 550,000.00 |
| Mar 31, 2026 | 557,000.00 |
| Dec 31, 2025 | 561,432.54 |
| Sep 30, 2025 | 571,000.00 |
| Jun 30, 2025 | 665,000.00 |
| Mar 31, 2025 | 572,000.00 |
| Dec 31, 2024 | 621,041.32 |
| Sep 30, 2024 | 770,000.00 |
| Jun 30, 2024 | 381,000.00 |
| Mar 31, 2024 | 435,000.00 |
| Dec 31, 2023 | 556,521.78 |
| Sep 30, 2023 | 876,000.00 |
| Jun 30, 2023 | 1.01 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 2.55 Mn |
| Jun 30, 2022 | 43.04 Mn |
| Jun 30, 2021 | 58.63 Mn |
| Dec 31, 2020 | 828,102.41 |
| Dec 31, 2019 | 33.79 Mn |
| Dec 31, 2018 | 32.75 Mn |
API Access
Aurora Mobile Operating Leases 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=operating-leases&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();