Global AI (GLAI) Interest Expenses (2010 - 2023)
Global AI (GLAI) posted Interest Expenses of $1,893 for FY2023.
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Analysis
Global AI (GLAI) Interest Expenses (2010 - 2023) Analysis & Trends
Since FY2010, Global AI has reported Interest Expenses for 11 years.
- Annual Interest Expenses shows a four-year compound annual growth rate of -18.9% (FY2019 to FY2023).
- The FY2023 figure stands as the lowest annual Interest Expenses since FY2016.
- Business Quant data shows GLAI's Interest Expenses at $3,738 in FY2022 (+0.7%), $3,711 in FY2021 (+0.2%), $3,705 in FY2020 (-15.2%) and $4,370 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | -19.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 28.10 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 924,000.00 |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -2,824.00 |
| Jun 30, 2023 | 3,775.00 |
| Mar 31, 2023 | 941.00 |
| Sep 30, 2022 | 962.00 |
| Jun 30, 2022 | 925.00 |
| Mar 31, 2022 | 915.00 |
| Sep 30, 2021 | 935.00 |
| Jun 30, 2021 | 925.00 |
| Mar 31, 2021 | 915.00 |
| Jun 30, 2017 | 951.00 |
| Mar 31, 2017 | 938.00 |
| Dec 31, 2016 | 959.00 |
| Sep 30, 2016 | -5,638.00 |
| Jun 30, 2016 | 946.00 |
| Mar 31, 2016 | 794.00 |
| Dec 31, 2015 | 600.00 |
| Sep 30, 2015 | -2,280.00 |
| Jun 30, 2015 | -470.00 |
| Mar 31, 2015 | 350.00 |
| Dec 31, 2014 | 70.00 |
API Access
Global AI Interest Expenses 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-expenses&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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-expenses&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();