Global AI (GLAI) Times Interest Earned (2014 - 2023)
Global AI's (GLAI) Times Interest Earned came in at -335.74 for FY2023.
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Analysis
Global AI (GLAI) Times Interest Earned (2014 - 2023) Analysis & Trends
Since FY2015, Global AI has reported Times Interest Earned for 7 years.
- The FY2023 figure stands as the lowest annual Times Interest Earned in data going back to FY2015.
- Business Quant data shows GLAI's Times Interest Earned at 1.20 in FY2022, -0.33 in FY2021, 4.46 in FY2020 (-29.7%) and 6.34 in FY2019.
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 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -38.30 |
| Jun 30, 2023 | -0.58 |
| Mar 31, 2023 | -1.14 |
| Sep 30, 2022 | -0.57 |
| Jun 30, 2022 | -0.30 |
| Mar 31, 2022 | -2.28 |
| Sep 30, 2021 | -10.80 |
| Jun 30, 2021 | 6.74 |
| Mar 31, 2021 | -0.77 |
| Jun 30, 2017 | -6.51 |
| Mar 31, 2017 | -0.75 |
| Dec 31, 2016 | -9.64 |
| Sep 30, 2016 | 0.20 |
| Jun 30, 2016 | -19.50 |
| Mar 31, 2016 | -31.51 |
| Dec 31, 2015 | -20.15 |
| Sep 30, 2015 | -6.74 |
| Jun 30, 2015 | -6.37 |
| Mar 31, 2015 | -71.20 |
| Dec 31, 2014 | -81.64 |
API Access
Global AI 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=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "GLAI", "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=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();