GD Culture (GDC) Accumulated Expenses (2015 - 2017)
GD Culture's Accumulated Expenses came in at $394,652 for Q4 2017, up 377.5% from $82,647 a year earlier and up 84.1% from the prior quarter.
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Analysis
GD Culture (GDC) Accumulated Expenses (2015 - 2017) Analysis & Trends
Going back to Q4 2015, GD Culture's Accumulated Expenses data covers 9 quarters.
- Going back by year, Accumulated Expenses was $82,647 in FY2016 (+90.9%) and $43,288 in FY2015.
- The Q4 2017 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2015.
- Year-over-year, Accumulated Expenses increased in four of the last five quarters, with growth averaging 162.7%.
- Business Quant data shows GDC's Accumulated Expenses at $214,339 (Q3 2017), $103,992 (Q2 2017) and $82,647 (Q1 2017) in the three quarters before Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | 394,652.00 |
| Sep 30, 2017 | 214,339.00 |
| Jun 30, 2017 | 103,992.00 |
| Mar 31, 2017 | 82,647.00 |
| Dec 31, 2016 | 82,647.00 |
| Sep 30, 2016 | 61,365.00 |
| Jun 30, 2016 | 120,826.00 |
| Mar 31, 2016 | 39,364.00 |
| Dec 31, 2015 | 43,288.00 |
API Access
GD Culture Accumulated Expenses 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=accumulated-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();