Global AI (GLAI) Return on Assets [ROA] (2011 - 2026)
Global AI's Return on Assets [ROA] came in at -36.90% for Q2 2026, up 1007.91 percentage points from -1044.81% a year earlier but down 5.76 percentage points from the prior quarter.
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Analysis
Global AI (GLAI) Return on Assets [ROA] (2011 - 2026) Analysis & Trends
For FY2025, Global AI's Return on Assets [ROA] was -116.03%, up 777.34 percentage points from FY2024.
- Return on Assets [ROA] carries a five-year change of -223.11 percentage points (FY2020 to FY2025).
- Going back by year, Return on Assets [ROA] was -893.37% in FY2024 (-208.52 pp), -684.85% in FY2023, 5.38% in FY2022 (+42.38 pp) and -37.00% in FY2021 (-144.08 pp).
- The five-year range for quarterly Return on Assets [ROA] is -4354.31% (Q3 2024) to 28.53% (Q3 2021).
- Year-over-year, Return on Assets [ROA] has increased for five consecutive quarters, with an average year-over-year change of +1970.07 percentage points over the last six quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q3 2025 (a gain of 3803.32 percentage points), and the weakest in Q4 2023 (a drop of 1888.53 percentage points).
- Business Quant data shows GLAI's Return on Assets [ROA] at -31.13% (Q1 2026), -48.90% (Q4 2025) and -550.98% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 0.65% |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 0.68% |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 20.44% |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | -12.62% |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 2.45% |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 3.20% |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 2.74% |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -0.80% |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | -36.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.90% |
| Mar 31, 2026 | -31.13% |
| Dec 31, 2025 | -48.90% |
| Sep 30, 2025 | -550.98% |
| Jun 30, 2025 | -1,044.81% |
| Mar 31, 2025 | -1,360.36% |
| Dec 31, 2024 | -3,682.93% |
| Sep 30, 2024 | -4,354.31% |
| Jun 30, 2024 | -3,973.47% |
| Mar 31, 2024 | -464.49% |
| Sep 30, 2023 | -1,846.16% |
| Jun 30, 2023 | -90.81% |
| Mar 31, 2023 | -44.57% |
| Dec 31, 2022 | -46.67% |
| Sep 30, 2022 | 10.11% |
| Jun 30, 2022 | -40.44% |
| Mar 31, 2022 | -6.24% |
| Dec 31, 2021 | 0.34% |
| Sep 30, 2021 | -23.85% |
| Jun 30, 2021 | 28.53% |
API Access
Global AI Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();