GD Culture (GDC) Interest Coverage Ratio (2017 - 2023)
GD Culture's (GDC) Interest Coverage Ratio stood at -354094.48 in Q4 2023.
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Analysis
GD Culture (GDC) Interest Coverage Ratio (2017 - 2023) Analysis & Trends
For FY2023, GD Culture's Interest Coverage Ratio came in at -148036.22.
- Across earlier years, Interest Coverage Ratio came in at -203605.74 in FY2021, -27.24 in FY2020 and -12.45 in FY2019.
- The Q4 2023 figure is the lowest quarterly Interest Coverage Ratio in data going back to Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.68 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.66 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 5.63 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.97 |
| 10 | GD Culture | 1.23 Mn | 1.52 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -354,094.48 |
| Sep 30, 2023 | -30,698.85 |
| Jun 30, 2023 | -1,478.50 |
| Jun 30, 2022 | -30,851.68 |
| Mar 31, 2022 | -213.04 |
| Jun 30, 2021 | -55,707.18 |
| Mar 31, 2021 | -138,318.42 |
| Dec 31, 2020 | 47.39 |
| Sep 30, 2020 | 26.74 |
| Jun 30, 2020 | -38.34 |
| Mar 31, 2020 | -19,804.45 |
| Dec 31, 2019 | 326.26 |
| Sep 30, 2019 | -55.23 |
| Jun 30, 2019 | -17.79 |
| Mar 31, 2019 | -49.52 |
| Dec 31, 2018 | -35.95 |
| Sep 30, 2018 | 7.80 |
| Jun 30, 2018 | 48.01 |
| Mar 31, 2018 | 26.20 |
| Dec 31, 2017 | -170.64 |
API Access
GD Culture Interest Coverage 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=interest-coverage-ratio&ticker=GDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-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=interest-coverage-ratio&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();