Aurora Mobile (JG) Property, Plant & Equipment (Net) (2017 - 2026)
Aurora Mobile (JG) recorded Property, Plant & Equipment (Net) of $677,000 in Q2 2026, up 53.9% from $440,000 a year earlier and up 80.1% from the prior quarter.
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Analysis
Aurora Mobile (JG) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2025, Aurora Mobile reported Property, Plant & Equipment (Net) of $400,000, down 36.1% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -48.7% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $626,000 in FY2024 (+209.9%), $202,000 in FY2023 (-90.7%), $2.17 million in FY2022 (-77.8%) and $9.76 million in FY2021 (-13.4%).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q2 2023.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in five of the last eight quarters, with growth averaging 84.7%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 219.9% in Q4 2024, against a decline of 95.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $376,000 (Q1 2026), $394,497 (Q4 2025) and $414,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 33.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 341.51 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | 753.00 Mn |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 38.99 Mn |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn | 677,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 677,000.00 |
| Mar 31, 2026 | 376,000.00 |
| Dec 31, 2025 | 394,497.30 |
| Sep 30, 2025 | 414,000.00 |
| Jun 30, 2025 | 440,000.00 |
| Mar 31, 2025 | 597,000.00 |
| Dec 31, 2024 | 636,633.48 |
| Sep 30, 2024 | 453,000.00 |
| Jun 30, 2024 | 146,000.00 |
| Mar 31, 2024 | 189,000.00 |
| Dec 31, 2023 | 199,025.63 |
| Sep 30, 2023 | 266,000.00 |
| Jun 30, 2023 | 1.39 Mn |
| Mar 31, 2023 | 1.73 Mn |
| Dec 31, 2022 | 2.10 Mn |
| Sep 30, 2022 | 6.03 Mn |
| Jun 30, 2022 | 7.36 Mn |
| Mar 31, 2022 | 8.77 Mn |
| Dec 31, 2021 | 9.73 Mn |
| Sep 30, 2021 | 10.69 Mn |
API Access
Aurora Mobile Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();