Global AI (GLAI) Change in Receivables (2010 - 2026)
Global AI (GLAI) reported Change in Receivables of $8,282 for Q2 2026, down 69.0% from $26,722 a year earlier but up 125.3% from the prior quarter.
Global AI (GLAI) Change in Receivables (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Global AI's Change in Receivables came in at $109,994; for FY2025, it was $95,650, up 228.4% from FY2024.
- By year, Change in Receivables came in at $29,128 in FY2024.
- Five-year quarterly Change in Receivables spans a low of -$29,108 in Q1 2025 and a high of $124,778 in Q4 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $3,676 (Q1 2026), $124,778 (Q4 2025) and -$26,742 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn | 83.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn | 305.83 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 Bn | 569.77 Mn | 69.26 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | 8,282.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8,282.00 |
| Mar 31, 2026 | 3,676.00 |
| Dec 31, 2025 | 124,778.00 |
| Sep 30, 2025 | -26,742.00 |
| Jun 30, 2025 | 26,722.00 |
| Mar 31, 2025 | -29,108.00 |
| Dec 31, 2018 | -2,500.00 |
| Sep 30, 2018 | 2,500.00 |
| Dec 31, 2017 | -10,000.00 |
| Dec 31, 2011 | -9,154.00 |
| Sep 30, 2011 | 3,394.00 |
| Jun 30, 2011 | 5,760.00 |
| Mar 31, 2011 | -750.00 |
| Dec 31, 2010 | -1,250.00 |
Global AI Change in 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=change-in-receivables&ticker=GLAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();