Global AI (GLAI) Capital Expenditures (2025 - 2026)
Global AI (GLAI) reported Capital Expenditures of $9,731 for Q2 2026, up 316.7% from $2,335 a year earlier but down 65.7% from the prior quarter.
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Analysis
Global AI (GLAI) Capital Expenditures (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global AI's Capital Expenditures came in at $99,679; for FY2025, it was $78,850.
- Five-year quarterly Capital Expenditures spans a low of $2,335 in Q2 2025 and a high of $57,915 in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $28,368 (Q1 2026), $3,665 (Q4 2025) and $57,915 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn | 1.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn | 21.05 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn | 2.47 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | 9,731.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9,731.00 |
| Mar 31, 2026 | 28,368.00 |
| Dec 31, 2025 | 3,665.00 |
| Sep 30, 2025 | 57,915.00 |
| Jun 30, 2025 | 2,335.00 |
| Mar 31, 2025 | 14,935.00 |
API Access
Global AI Capital Expenditures 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=capital-expenditures&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();