Aurora Mobile (JG) Depreciation & Amortization (CF) (2021 - 2026)
Aurora Mobile (JG) posted Depreciation & Amortization (CF) of $35,540 for Q2 2026, up 11.1% from $32,000 a year earlier and up 11.1% from the prior quarter.
Aurora Mobile (JG) Depreciation & Amortization (CF) (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Aurora Mobile was $127,995, down 12.9% year-over-year; for FY2025, it was $133,000, down 25.7% from FY2024.
- Annual Depreciation & Amortization (CF) shows a five-year compound annual growth rate of -53.0% (FY2020 to FY2025).
- In prior years, Aurora Mobile's Depreciation & Amortization (CF) was $179,000 in FY2024 (+27.9%), $140,000 in FY2023 (+164.2%), $53,000 in FY2022 (-98.8%) and $4.29 million in FY2021 (-25.8%).
- The Q2 2026 figure stands as the highest quarterly Depreciation & Amortization (CF) since Q1 2025.
- On a year-over-year basis, Depreciation & Amortization (CF) increased in two of the last six quarters, with an average decline of 16.4%.
- The strongest year-over-year quarter for Depreciation & Amortization (CF) in the past five years was Q1 2024, with growth of 96.8%; the weakest was Q3 2022, with a decline of 97.6%.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $32,000 (Q1 2026), $30,454 (Q4 2025) and $30,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 341.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 82.08 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 41.40 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 68.63 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 19.49 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 12.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 32.46 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | Aurora Mobile | 4.83 Bn | 4.76 Bn | 10.20 Mn | 35,540.17 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35,540.17 |
| Mar 31, 2026 | 32,000.00 |
| Dec 31, 2025 | 30,454.40 |
| Sep 30, 2025 | 30,000.00 |
| Jun 30, 2025 | 32,000.00 |
| Mar 31, 2025 | 37,000.00 |
| Dec 31, 2024 | 27,000.00 |
| Sep 30, 2024 | 51,000.00 |
| Jun 30, 2024 | 51,000.00 |
| Mar 31, 2024 | 53,141.58 |
| Jun 30, 2023 | 112,000.00 |
| Mar 31, 2023 | 27,000.00 |
| Dec 31, 2022 | 27,000.00 |
| Sep 30, 2022 | 26,000.00 |
| Jun 30, 2022 | 962,959.29 |
| Mar 31, 2022 | 1.05 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 1.10 Mn |
Aurora Mobile Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();