Global AI (GLAI) EBITDA (2024 - 2026)
Global AI's EBITDA came in at -$797,545 for Q2 2026, compared with -$477,194 a year earlier.
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Analysis
Global AI (GLAI) EBITDA (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global AI reported EBITDA of -$1.56 million; for FY2025, it came in at -$2.3 million.
- The five-year range for quarterly EBITDA is -$1.65 million (Q3 2025) to $1.67 million (Q4 2025).
- Business Quant data shows GLAI's EBITDA at -$785,718 (Q1 2026), $1.67 million (Q4 2025) and -$1.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 254.38 Bn | 239.45 Bn | 2.30 Bn | 693.00 Mn |
| 2 | CrowdStrike Holdings | 229.62 Bn | 210.02 Bn | 1.10 Bn | 170.34 Mn |
| 3 | Fortinet | 124.77 Bn | 110.70 Bn | 1.64 Bn | 827.40 Mn |
| 4 | Snowflake | 111.85 Bn | 99.17 Bn | 1.04 Bn | -134.60 Mn |
| 5 | Datadog | 90.68 Bn | 72.32 Bn | 881.34 Mn | 47.04 Mn |
| 6 | Zscaler | 34.21 Bn | 20.33 Bn | - | - |
| 7 | Okta | 33.39 Bn | 23.49 Bn | 641.00 Mn | 166.00 Mn |
| 8 | Axon Enterprise | 31.95 Bn | 26.47 Bn | 546.45 Mn | 79.24 Mn |
| 9 | MongoDB | 28.85 Bn | 19.31 Bn | 569.77 Mn | 35.33 Mn |
| 10 | Global AI | 127.02 Mn | 126.76 Mn | 82,446.00 | -797,545.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -797,545.00 |
| Mar 31, 2026 | -785,718.00 |
| Dec 31, 2025 | 1.67 Mn |
| Sep 30, 2025 | -1.65 Mn |
| Jun 30, 2025 | -477,194.00 |
| Mar 31, 2025 | -708,762.00 |
| Sep 30, 2024 | -117,932.00 |
| Jun 30, 2024 | -263,849.00 |
| Mar 31, 2024 | -346,210.00 |
API Access
Global AI EBITDA 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=ebitda&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();