Global AI (GLAI) Other Operating Expenses (2010 - 2026)
Global AI's Other Operating Expenses came in at $63,815 for Q2 2026, down 81.2% from $338,694 a year earlier and down 20.9% from the prior quarter.
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Analysis
Global AI (GLAI) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Global AI reported Other Operating Expenses of $611,619, down 49.8% year-over-year; for FY2025, it came in at $1.38 million, up 114.5% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 100.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $642,298 in FY2024 (+23.1%), $521,946 in FY2023, $44,510 in FY2022 (-3.3%) and $46,045 in FY2021 (+7.0%).
- The Q2 2026 figure represents the lowest quarterly Other Operating Expenses since Q3 2023.
- Year-over-year, Other Operating Expenses has declined for three consecutive quarters, with growth averaging 76.5% over the last six quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2023 (growth of 943.2%), and the weakest in Q1 2026 (a decline of 85.9%).
- Business Quant data shows GLAI's Other Operating Expenses at $80,656 (Q1 2026), $98,686 (Q4 2025) and $368,462 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.09 Bn | 245.16 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 244.26 Bn | 224.66 Bn | 1.10 Bn |
| 3 | Fortinet | 127.58 Bn | 113.51 Bn | 1.64 Bn |
| 4 | Snowflake | 112.93 Bn | 100.25 Bn | 1.04 Bn |
| 5 | Datadog | 97.34 Bn | 78.98 Bn | 881.34 Mn |
| 6 | Zscaler | 37.10 Bn | 23.22 Bn | - |
| 7 | Okta | 36.45 Bn | 26.54 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.48 Bn | 27.00 Bn | 546.45 Mn |
| 9 | MongoDB | 31.35 Bn | 21.82 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 | 583,424.00 |
| Mar 31, 2026 | 598,138.00 |
| Dec 31, 2025 | -2.00 Mn |
| Sep 30, 2025 | 374,018.00 |
| Jun 30, 2025 | -240,594.00 |
| Mar 31, 2025 | 109,842.00 |
| Dec 31, 2024 | 269,888.00 |
| Sep 30, 2024 | 82,511.00 |
| Jun 30, 2024 | 137,229.00 |
| Mar 31, 2024 | 198,102.00 |
| Sep 30, 2023 | 106,875.00 |
| Jun 30, 2023 | 11,680.00 |
| Mar 31, 2023 | 11,313.00 |
| Dec 31, 2022 | 11,935.00 |
| Sep 30, 2022 | 11,937.00 |
| Jun 30, 2022 | 10,476.00 |
| Mar 31, 2022 | 11,914.00 |
| Dec 31, 2021 | 1,875.00 |
| Sep 30, 2021 | 21,793.00 |
| Jun 30, 2021 | 10,476.00 |
API Access
Global AI Other Operating Expenses 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=other-operating-expenses&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();