Global AI (GLAI) Total Current Liabilities (2010 - 2026)
Global AI (GLAI) recorded Total Current Liabilities of $7.87 million in Q2 2026, up 356.4% from $1.72 million a year earlier and up 16.6% from the prior quarter.
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Analysis
Global AI (GLAI) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Global AI reported Total Current Liabilities of $5.87 million, up 705.7% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 127.2% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $728,949 in FY2024 (+207.3%), $237,189 in FY2023, $102,630 in FY2022 (+4.0%) and $98,652 in FY2021 (+1.8%).
- The Q2 2026 figure is the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- On a year-over-year basis, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 489.1% over the last five quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 980.0% in Q1 2026, against a decline of 0.6% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.74 million (Q1 2026), $5.87 million (Q4 2025) and $4.25 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 256.88 Bn | 241.95 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 233.02 Bn | 213.42 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 126.23 Bn | 112.16 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 110.89 Bn | 98.20 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 91.82 Bn | 73.46 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Zscaler | 34.02 Bn | 20.14 Bn | - | 2.96 Bn |
| 7 | Okta | 33.33 Bn | 23.43 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Axon Enterprise | 31.82 Bn | 26.34 Bn | 546.45 Mn | 1.40 Bn |
| 9 | MongoDB | 28.80 Bn | 19.27 Bn | 569.77 Mn | 642.37 Mn |
| 10 | Global AI | 127.02 Mn | 126.76 Mn | 82,446.00 | 7.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.87 Mn |
| Mar 31, 2026 | 6.74 Mn |
| Dec 31, 2025 | 5.87 Mn |
| Sep 30, 2025 | 4.25 Mn |
| Jun 30, 2025 | 1.72 Mn |
| Mar 31, 2025 | 624,517.00 |
| Dec 31, 2024 | 728,949.00 |
| Sep 30, 2024 | 91,550.00 |
| Jun 30, 2024 | 112,365.00 |
| Mar 31, 2024 | 211,136.00 |
| Dec 31, 2023 | 237,189.00 |
| Sep 30, 2023 | 29,080.00 |
| Jun 30, 2023 | 108,308.00 |
| Mar 31, 2023 | 104,533.00 |
| Dec 31, 2022 | 104,892.00 |
| Sep 30, 2022 | 102,630.00 |
| Jun 30, 2022 | 101,668.00 |
| Mar 31, 2022 | 105,179.00 |
| Dec 31, 2021 | 101,182.00 |
| Sep 30, 2021 | 98,652.00 |
API Access
Global AI Total Current Liabilities 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=total-current-liabilities&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();