Global AI (GLAI) Receivables (2010 - 2026)
Global AI's Receivables came in at $136,736 for Q2 2026, up 411.3% from $26,742 a year earlier and up 6.4% from the prior quarter.
Analysis
Global AI (GLAI) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Global AI's Receivables was $124,778, up 328.4% from FY2024.
- Receivables carries a three-year compound annual growth rate of 131.9% (FY2022 to FY2025).
- Going back by year, Receivables was $29,128 in FY2024 and $10,000 in FY2022.
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.21 Bn | 240.28 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 230.72 Bn | 211.12 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 125.04 Bn | 110.97 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 112.14 Bn | 99.46 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 91.31 Bn | 72.95 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Zscaler | 34.32 Bn | 20.44 Bn | - | 1.15 Bn |
| 7 | Okta | 33.62 Bn | 23.71 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Axon Enterprise | 31.90 Bn | 26.43 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 29.07 Bn | 19.54 Bn | 569.77 Mn | 483.22 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | 136,736.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 136,736.00 |
| Mar 31, 2026 | 128,454.00 |
| Dec 31, 2025 | 124,778.00 |
| Jun 30, 2025 | 26,742.00 |
| Mar 31, 2025 | 20.00 |
| Dec 31, 2024 | 29,128.00 |
| Jun 30, 2023 | 7,450.00 |
| Mar 31, 2023 | 5,000.00 |
| Sep 30, 2022 | 10,000.00 |
| Sep 30, 2018 | 5,000.00 |
| Sep 30, 2017 | 20,000.00 |
| Sep 30, 2011 | 9,154.00 |
| Jun 30, 2011 | 5,760.00 |
| Sep 30, 2010 | 2,000.00 |
API Access
Global AI Receivables 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=receivables&ticker=GLAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();