Global AI (GLAI) Research & Development (2025 - 2026)
Global AI (GLAI) reported Research & Development of $68,353 for Q2 2026, down 88.9% from $613,234 a year earlier but up 42.9% from the prior quarter.
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Analysis
Global AI (GLAI) Research & Development (2025 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global AI's Research & Development came in at $1.82 million; for FY2024, it came in at $44,307.
- Research & Development has a five-year compound annual growth rate of 134.9% (FY2019 to FY2024).
- By year, Research & Development came in at $625.00 in FY2020 (+0.8%).
- Five-year quarterly Research & Development spans a low of $47,822 in Q1 2026 and a high of $1.09 million in Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Global AI | 123.92 Mn | 123.66 Mn | 82,446.00 | 68,353.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68,353.00 |
| Mar 31, 2026 | 47,822.00 |
| Sep 30, 2025 | 1.09 Mn |
| Jun 30, 2025 | 613,234.00 |
| Mar 31, 2025 | 522,626.00 |
API Access
Global AI Research & Development 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=research-and-development&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();