GD Culture (GDC) Asset Utilization Ratio (2017 - 2023)
GD Culture's (GDC) Asset Utilization Ratio was 0.02 for Q3 2023, down 98.4% from the prior quarter.
Analysis
GD Culture (GDC) Asset Utilization Ratio (2017 - 2023) Analysis & Trends
For FY2022, Asset Utilization Ratio at GD Culture was 0.01, down 99.1% from FY2021.
- By year, Asset Utilization Ratio came in at 0.66 in FY2021, 0.02 in FY2020 (-96.6%), 0.60 in FY2019 and 0.04 in FY2018 (-95.4%).
- The Q3 2023 figure ranks as the lowest quarterly Asset Utilization Ratio since Q3 2019.
- The high point for year-over-year Asset Utilization Ratio in five years was Q2 2022 (growth of 177.0%); the low point was Q4 2018 (a decline of 96.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Asset Util. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 0.24 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.46 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.73 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 0.63 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.55 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.44 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.33 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 0.27 |
| 10 | GD Culture | 1.23 Mn | 1.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 0.02 |
| Jun 30, 2023 | 1.09 |
| Mar 31, 2023 | 7.21 |
| Jun 30, 2022 | 0.66 |
| Mar 31, 2022 | 0.59 |
| Dec 31, 2021 | 0.51 |
| Sep 30, 2021 | 0.22 |
| Jun 30, 2021 | 0.24 |
| Mar 31, 2021 | 0.25 |
| Dec 31, 2020 | 0.30 |
| Sep 30, 2020 | 0.36 |
| Jun 30, 2020 | 0.44 |
| Mar 31, 2020 | 0.62 |
| Dec 31, 2019 | 0.57 |
| Sep 30, 2019 | -0.05 |
| Jun 30, 2019 | -0.07 |
| Mar 31, 2019 | -0.03 |
| Dec 31, 2018 | 0.03 |
| Sep 30, 2018 | 0.29 |
| Jun 30, 2018 | 0.46 |
API Access
GD Culture Asset Utilization Ratio 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-utilization-ratio&ticker=GDC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-utilization-ratio", "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=asset-utilization-ratio&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();