GD Culture (GDC) Times Interest Earned (2017 - 2023)
GD Culture's (GDC) Times Interest Earned came in at -354094.48 for Q4 2023.
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Analysis
GD Culture (GDC) Times Interest Earned (2017 - 2023) Analysis & Trends
For FY2023, GD Culture's Times Interest Earned stood at -148036.22.
- In prior years, GD Culture's Times Interest Earned was -203605.74 in FY2021, -27.24 in FY2020 and -12.45 in FY2019.
- The Q4 2023 figure stands as the lowest quarterly Times Interest Earned in data going back to Q1 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (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 | -5.50 |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.68 |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 5.63 |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 1.66 |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.97 |
| 10 | GD Culture | 1.36 Mn | 1.64 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 Times Interest Earned 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=times-interest-earned&ticker=GDC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=GDC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();