Global AI (GLAI) Interest Coverage Ratio (2014 - 2023)
Global AI's (GLAI) Interest Coverage Ratio was -335.74 for FY2023.
Powered by 
Analysis
Global AI (GLAI) Interest Coverage Ratio (2014 - 2023) Analysis & Trends
Dating back to FY2015, Global AI's Interest Coverage Ratio record includes 7 years.
- The FY2023 figure ranks as the lowest annual Interest Coverage Ratio in data going back to FY2015.
- According to Business Quant data, Interest Coverage Ratio came in 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) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 283.28 Bn | 268.35 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 256.80 Bn | 237.20 Bn | 1.10 Bn | -5.50 |
| 3 | Fortinet | 131.22 Bn | 117.15 Bn | 1.64 Bn | 215.41 |
| 4 | Snowflake | 111.69 Bn | 99.01 Bn | 1.04 Bn | -126.37 |
| 5 | Datadog | 96.18 Bn | 77.82 Bn | 881.34 Mn | 1.68 |
| 6 | Zscaler | 39.49 Bn | 25.61 Bn | - | - |
| 7 | Okta | 37.27 Bn | 27.37 Bn | 641.00 Mn | 5.63 |
| 8 | Axon Enterprise | 33.58 Bn | 28.11 Bn | 546.45 Mn | 1.66 |
| 9 | MongoDB | 29.47 Bn | 19.94 Bn | 569.77 Mn | 30.74 |
| 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 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=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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=interest-coverage-ratio&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();