Aurora Mobile (JG) Asset Writedowns and Impairment (2020 - 2023)
Aurora Mobile's Asset Writedowns and Impairment came in at $1.5 million for Q4 2023, compared with $60,000 a year earlier and up 95.4% from the prior quarter.
Powered by 
Analysis
Aurora Mobile (JG) Asset Writedowns and Impairment (2020 - 2023) Analysis & Trends
For FY2023, Aurora Mobile's Asset Writedowns and Impairment was $1.2 million, up 22.9% from FY2022.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of -43.6% (FY2020 to FY2023).
- Going back by year, Asset Writedowns and Impairment was $975,000 in FY2022 (-76.0%), $4.06 million in FY2021 (-39.3%) and $6.69 million in FY2020.
- The Q4 2023 figure represents the highest quarterly Asset Writedowns and Impairment since Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.50 Mn |
| Sep 30, 2023 | 768,000.00 |
| Jun 30, 2023 | 1.33 Mn |
| Dec 31, 2022 | 60,000.00 |
| Mar 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 3.66 Mn |
| Sep 30, 2021 | 402,000.00 |
| Dec 31, 2020 | 6.69 Mn |
API Access
Aurora Mobile Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=JG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();