Aurora Mobile (JG) Preferred Stock Liabilities (2016 - 2018)
Aurora Mobile's Preferred Stock Liabilities came in at -$432,068 for Q3 2018, compared with -$3.04 million a year earlier.
Analysis
Aurora Mobile (JG) Preferred Stock Liabilities (2016 - 2018) Analysis & Trends
At the end of FY2017, Aurora Mobile's Preferred Stock Liabilities was $69.07 million, up 107.7% from FY2016.
- Going back by year, Preferred Stock Liabilities was $33.25 million in FY2016.
- The five-year range for quarterly Preferred Stock Liabilities is -$3.04 million (Q3 2017) to $70.53 million (Q4 2017).
- Business Quant data shows JG's Preferred Stock Liabilities at $65.07 million (Q2 2018), -$1.71 million (Q1 2018) and $70.53 million (Q4 2017) in the three quarters before Q3 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Preferred Stock Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | - |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | - |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | - |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2018 | -432,067.63 |
| Jun 30, 2018 | 65.07 Mn |
| Mar 31, 2018 | -1.71 Mn |
| Dec 31, 2017 | 70.53 Mn |
| Sep 30, 2017 | -3.04 Mn |
| Jun 30, 2017 | -1.97 Mn |
| Dec 31, 2016 | 32.32 Mn |
API Access
Aurora Mobile Preferred Stock Liabilities 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=preferred-stock-liabilities&ticker=JG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-liabilities", "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=preferred-stock-liabilities&ticker=JG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();