GD Culture (GDC) Price to Sales (2017 - 2023)
GD Culture's Price to Sales was 10127.78 in Q3 2023.
Analysis
GD Culture (GDC) Price to Sales (2017 - 2023) Analysis & Trends
For FY2022, Price to Sales at GD Culture came in at 5216.63.
- In earlier years, Price to Sales was 424.80 in FY2021 (-99.9%), 717740.45 in FY2020, 9568.54 in FY2019 (-93.9%) and 157119.00 in FY2018.
- The Q3 2023 figure marks the highest quarterly Price to Sales since Q3 2021.
- The best year-over-year quarter for Price to Sales over five years was Q1 2021 (growth of 709.0%); the worst was Q1 2022 (a decline of 99.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn |
| 10 | GD Culture | 1.31 Mn | 1.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 10,127.78 |
| Jun 30, 2023 | 290.99 |
| Mar 31, 2023 | 47.63 |
| Jun 30, 2022 | 8,051.65 |
| Mar 31, 2022 | 298.59 |
| Dec 31, 2021 | 424.80 |
| Sep 30, 2021 | 35,909.38 |
| Jun 30, 2021 | 46,483.49 |
| Mar 31, 2021 | 100,907.40 |
| Dec 31, 2020 | 44,460.00 |
| Sep 30, 2020 | 16,555.55 |
| Jun 30, 2020 | 29,633.96 |
| Mar 31, 2020 | 12,473.33 |
| Dec 31, 2019 | 9,568.54 |
| Dec 31, 2018 | 157,119.00 |
| Sep 30, 2018 | 20,209.25 |
| Jun 30, 2018 | 23,436.24 |
| Mar 31, 2018 | 20,067.66 |
| Dec 31, 2017 | 4,939.61 |
API Access
GD Culture Price to Sales 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=price-to-sales&ticker=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();