Global AI (GLAI) Return on Sales [ROS] (2014 - 2026)
Global AI (GLAI) posted Return on Sales [ROS] of -699.05% for Q2 2026, down 131.93 percentage points from -567.12% a year earlier but up 1077.58 percentage points from the prior quarter.
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Analysis
Global AI (GLAI) Return on Sales [ROS] (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Global AI was -862.35%, up 155.90 percentage points year-over-year; for FY2025, it came in at -1604.87%, up 2416.24 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -1625.64 percentage points (FY2020 to FY2025).
- In prior years, Global AI's Return on Sales [ROS] was -4021.11% in FY2024 (-2151.83 pp), -1869.28% in FY2023, 7.49% in FY2022 (+9.19 pp) and -1.69% in FY2021 (-22.46 pp).
- Quarterly Return on Sales [ROS] has run from a low of -4326.40% in Q4 2023 to a high of 6982.00% in Q4 2025 over five years.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q1 2026, with a gain of 209.57 percentage points; the weakest was Q4 2023, with a drop of 4322.75 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -1776.62% (Q1 2026), 6982.00% (Q4 2025) and -2528.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Global AI | 139.41 Mn | 139.15 Mn | 82,446.00 | -699.05% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -699.05% |
| Mar 31, 2026 | -1,776.62% |
| Dec 31, 2025 | 6,982.00% |
| Sep 30, 2025 | -2,528.15% |
| Jun 30, 2025 | -567.12% |
| Mar 31, 2025 | -1,986.19% |
| Sep 30, 2023 | -4,326.40% |
| Jun 30, 2023 | -14.99% |
| Mar 31, 2023 | -6.30% |
| Dec 31, 2022 | -12.32% |
| Sep 30, 2022 | -3.65% |
| Jun 30, 2022 | -1.82% |
| Mar 31, 2022 | -13.92% |
| Dec 31, 2021 | 49.36% |
| Sep 30, 2021 | -67.35% |
| Jun 30, 2021 | 27.72% |
| Mar 31, 2021 | -4.73% |
| Dec 31, 2020 | 16.73% |
| Sep 30, 2020 | -11.29% |
| Jun 30, 2020 | 40.32% |
API Access
Global AI Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=GLAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=GLAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();