GD Culture (GDC) Preferred Stock Liabilities (2016 - 2017)
GD Culture (GDC) posted Preferred Stock Liabilities of $30.37 million for Q4 2017, down 24.1% from $40 million a year earlier and unchanged from the prior quarter.
Analysis
GD Culture (GDC) Preferred Stock Liabilities (2016 - 2017) Analysis & Trends
Since Q4 2016, GD Culture has reported Preferred Stock Liabilities for 5 quarters.
- In prior years, GD Culture's Preferred Stock Liabilities was $40 million in FY2016.
- Quarterly Preferred Stock Liabilities has run from a low of $30.37 million in Q3 2017 to a high of $40 million in Q2 2017 over five years.
- According to Business Quant data, Preferred Stock Liabilities for the three prior quarters was $30.37 million (Q3 2017), $40 million (Q2 2017) and $40 million (Q1 2017).
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 | GD Culture | 1.36 Mn | 1.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 30.37 Mn |
| Sep 30, 2017 | 30.37 Mn |
| Jun 30, 2017 | 40.00 Mn |
| Mar 31, 2017 | 40.00 Mn |
| Dec 31, 2016 | 40.00 Mn |
API Access
GD Culture 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=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "preferred-stock-liabilities", "ticker": "GDC", "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=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();