Global AI (GLAI) Cash & Equivalents (2011 - 2026)
Global AI (GLAI) posted Cash & Equivalents of $40,559 for Q2 2026, down 6.6% from $43,432 a year earlier but up 54.5% from the prior quarter.
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Analysis
Global AI (GLAI) Cash & Equivalents (2011 - 2026) Analysis & Trends
At the end of FY2025, Global AI's Cash & Equivalents came in at $77,200, up 677.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 52.4% (FY2020 to FY2025).
- In prior years, Global AI's Cash & Equivalents was $9,929 in FY2024 (-94.6%), $183,964 in FY2023, $5,812 in FY2022 (+402.8%) and $1,156 in FY2021 (-87.7%).
- Quarterly Cash & Equivalents has run from a low of $8.00 in Q3 2021 to a high of $183,964 in Q4 2023 over five years.
- On a year-over-year basis, Cash & Equivalents increased in four of the last seven quarters, with growth averaging 275.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2025, with growth of 719.4%; the weakest was Q3 2021, with a decline of 99.8%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $26,255 (Q1 2026), $77,200 (Q4 2025) and $112,004 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 310.15 Bn | 295.22 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 263.73 Bn | 244.17 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 132.04 Bn | 117.97 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 114.70 Bn | 102.02 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 96.79 Bn | 78.43 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Zscaler | 41.60 Bn | 27.72 Bn | - | 928.35 Mn |
| 7 | Okta | 35.61 Bn | 25.70 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Axon Enterprise | 34.15 Bn | 28.67 Bn | 546.45 Mn | 597.70 Mn |
| 9 | MongoDB | 29.89 Bn | 20.36 Bn | 569.77 Mn | 1.00 Bn |
| 10 | Global AI | 123.92 Mn | 123.66 Mn | 82,446.00 | 40,559.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40,559.00 |
| Mar 31, 2026 | 26,255.00 |
| Dec 31, 2025 | 77,200.00 |
| Sep 30, 2025 | 112,004.00 |
| Jun 30, 2025 | 43,432.00 |
| Mar 31, 2025 | 82,990.00 |
| Dec 31, 2024 | 9,929.00 |
| Sep 30, 2024 | 13,669.00 |
| Jun 30, 2024 | 22,417.00 |
| Mar 31, 2024 | 11,701.00 |
| Dec 31, 2023 | 183,964.00 |
| Sep 30, 2023 | 2.00 |
| Jun 30, 2023 | 924.00 |
| Mar 31, 2023 | 2,653.00 |
| Dec 31, 2022 | 9,074.00 |
| Sep 30, 2022 | 5,812.00 |
| Jun 30, 2022 | 7,550.00 |
| Mar 31, 2022 | 11,069.00 |
| Dec 31, 2021 | 11,285.00 |
| Sep 30, 2021 | 1,156.00 |
API Access
Global AI Cash & Equivalents 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=cash-and-equivalents&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();