Aurora Mobile (JG) Amortizatization of Intangibles (2021 - 2026)
Aurora Mobile (JG) reported Amortizatization of Intangibles of $154,791 for Q2 2026, up 6.0% from $146,000 a year earlier but down 0.1% from the prior quarter.
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Aurora Mobile (JG) Amortizatization of Intangibles (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Aurora Mobile's Amortizatization of Intangibles came in at $613,217, up 4.3% year-over-year; for FY2025, it came in at $604,000, down 5.2% from FY2024.
- Amortizatization of Intangibles has a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- By year, Amortizatization of Intangibles came in at $637,000 in FY2024 (-27.3%), $876,000 in FY2023 (unchanged), $876,000 in FY2022 (+24.6%) and $703,000 in FY2021 (+5.1%).
- Five-year quarterly Amortizatization of Intangibles spans a low of $140,000 in Q1 2025 and a high of $253,402 in Q2 2022.
- Year over year, Amortizatization of Intangibles has now increased in each of the last three quarters, with an average decline of 8.7% over the last eight quarters.
- The high point for year-over-year Amortizatization of Intangibles in five years was Q1 2023 (growth of 38.0%); the low point was Q4 2024 (a decline of 32.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $155,000 (Q1 2026), $151,426 (Q4 2025) and $152,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | 13.30 Mn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | - |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | - |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | - |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | - |
| 10 | Aurora Mobile | 5.20 Bn | 5.13 Bn | 10.20 Mn | 154,790.65 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 154,790.65 |
| Mar 31, 2026 | 155,000.00 |
| Dec 31, 2025 | 151,426.05 |
| Sep 30, 2025 | 152,000.00 |
| Jun 30, 2025 | 146,000.00 |
| Mar 31, 2025 | 140,000.00 |
| Dec 31, 2024 | 144,000.00 |
| Sep 30, 2024 | 158,000.00 |
| Jun 30, 2024 | 153,000.00 |
| Mar 31, 2024 | 191,449.52 |
| Dec 31, 2023 | 213,000.00 |
| Sep 30, 2023 | 208,000.00 |
| Jun 30, 2023 | 219,000.00 |
| Mar 31, 2023 | 234,000.00 |
| Dec 31, 2022 | 236,000.00 |
| Sep 30, 2022 | 234,000.00 |
| Jun 30, 2022 | 253,402.36 |
| Mar 31, 2022 | 169,534.95 |
| Dec 31, 2021 | 177,524.89 |
| Sep 30, 2021 | 178,695.21 |
API Access
Aurora Mobile Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();