Global AI (GLAI) Enterprise Value (2011 - 2026)
Global AI (GLAI) recorded Enterprise Value of $86.7 million in Q2 2026, up 100.1% from $43.33 million a year earlier but down 62.2% from the prior quarter.
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Analysis
Global AI (GLAI) Enterprise Value (2011 - 2026) Analysis & Trends
On a TTM basis, Global AI's Enterprise Value came in at $86.49 million as of Jun 30, 2026, up 100.1% year-over-year; for FY2025, it came in at $156.33 million, up 533.3% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 74.4% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $24.69 million in FY2024 (-88.6%), $215.9 million in FY2023, $10.8 million in FY2022 (-8.8%) and $11.84 million in FY2021 (+22.3%).
- Quarterly Enterprise Value has ranged from $6.45 million in Q1 2022 to $229.22 million in Q1 2026 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for six consecutive quarters, with growth averaging 207.8% over the last seven quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 533.3% in Q4 2025, against a decline of 88.6% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $229.22 million (Q1 2026), $156.33 million (Q4 2025) and $69.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.42 Bn | 240.49 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 232.07 Bn | 212.47 Bn | 1.10 Bn |
| 3 | Fortinet | 125.35 Bn | 111.28 Bn | 1.64 Bn |
| 4 | Snowflake | 111.63 Bn | 98.94 Bn | 1.04 Bn |
| 5 | Datadog | 91.35 Bn | 72.99 Bn | 881.34 Mn |
| 6 | Zscaler | 34.43 Bn | 20.55 Bn | - |
| 7 | Okta | 33.87 Bn | 23.97 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 31.65 Bn | 26.18 Bn | 546.45 Mn |
| 9 | MongoDB | 29.46 Bn | 19.93 Bn | 569.77 Mn |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86.70 Mn |
| Mar 31, 2026 | 229.22 Mn |
| Dec 31, 2025 | 156.33 Mn |
| Sep 30, 2025 | 69.59 Mn |
| Jun 30, 2025 | 43.33 Mn |
| Mar 31, 2025 | 58.78 Mn |
| Dec 31, 2024 | 24.69 Mn |
| Sep 30, 2024 | 16.96 Mn |
| Jun 30, 2024 | 20.04 Mn |
| Mar 31, 2024 | 20.05 Mn |
| Dec 31, 2023 | 215.90 Mn |
| Sep 30, 2023 | 44.76 Mn |
| Jun 30, 2023 | 13.89 Mn |
| Mar 31, 2023 | 12.35 Mn |
| Dec 31, 2022 | 12.34 Mn |
| Sep 30, 2022 | 10.80 Mn |
| Jun 30, 2022 | 9.25 Mn |
| Mar 31, 2022 | 6.45 Mn |
| Dec 31, 2021 | 6.45 Mn |
| Sep 30, 2021 | 11.84 Mn |
API Access
Global AI Enterprise Value 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=enterprise-value&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();