Aurora Mobile (JG) Depreciation and Depletion (2021 - 2026)
Aurora Mobile (JG) posted Depreciation and Depletion of $35,540 for Q2 2026, up 11.1% from $32,000 a year earlier and up 11.1% from the prior quarter.
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Analysis
Aurora Mobile (JG) Depreciation and Depletion (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion 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 and Depletion has declined for five consecutive years, with a five-year compound annual growth rate of -53.0% (FY2020 to FY2025).
- In prior years, Aurora Mobile's Depreciation and Depletion was $179,000 in FY2024 (-76.0%), $747,000 in FY2023 (-78.9%), $3.53 million in FY2022 (-17.7%) and $4.29 million in FY2021 (-25.8%).
- The Q2 2026 figure stands as the highest quarterly Depreciation and Depletion since Q1 2025.
- On a year-over-year basis, Depreciation and Depletion increased in two of the last eight quarters, with an average decline of 26.6%.
- The strongest year-over-year quarter for Depreciation and Depletion in the past five years was Q4 2025, with growth of 12.8%; the weakest was Q4 2023, with a decline of 92.1%.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $32,000 (Q1 2026), $30,454 (Q4 2025) and $30,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | - |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | - |
| 10 | Aurora Mobile | 4.97 Bn | 4.89 Bn | 10.20 Mn | 35,540.17 |
Historic Data
Download Data
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 |
| Dec 31, 2023 | 63,000.00 |
| Sep 30, 2023 | 119,000.00 |
| Jun 30, 2023 | 248,000.00 |
| Mar 31, 2023 | 318,000.00 |
| Dec 31, 2022 | 800,000.00 |
| Sep 30, 2022 | 825,000.00 |
| Jun 30, 2022 | 962,959.29 |
| Mar 31, 2022 | 1.05 Mn |
| Dec 31, 2021 | 1.07 Mn |
| Sep 30, 2021 | 1.10 Mn |
API Access
Aurora Mobile Depreciation and Depletion 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-depletion&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();