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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.69 Bn | 241.76 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 236.48 Bn | 216.88 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 124.26 Bn | 110.19 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 112.57 Bn | 99.89 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 93.68 Bn | 75.32 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Zscaler | 34.86 Bn | 20.98 Bn | - | - |
| 7 | Okta | 33.95 Bn | 24.05 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Axon Enterprise | 31.99 Bn | 26.52 Bn | 546.45 Mn | 208.69 Mn |
| 9 | MongoDB | 29.71 Bn | 20.18 Bn | 569.77 Mn | 213.87 Mn |
| 10 | Global AI | 127.02 Mn | 126.76 Mn | 82,446.00 | 68,353.00 |
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 |
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_KEY
import 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();