Gaxos.Ai (GXAI) Return on Sales [ROS] (2024 - 2026)
Gaxos.Ai's Return on Sales [ROS] came in at -75.88% for Q2 2026, up 498.89 percentage points from -574.77% a year earlier.
Gaxos.Ai (GXAI) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Gaxos.Ai reported Return on Sales [ROS] of -123.43%, up 1979.96 percentage points year-over-year; for FY2025, it was -254.34%, up 91714.99 percentage points from FY2024.
- Going back by year, Return on Sales [ROS] was -91969.33% in FY2024 (+1476501.37 pp) and -1568470.70% in FY2023.
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q1 2024.
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 | Gaxos.Ai | 5.59 Mn | 4.63 Mn | - | -75.88% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -75.88% |
| Dec 31, 2025 | -98.98% |
| Sep 30, 2025 | -263.86% |
| Jun 30, 2025 | -574.77% |
| Mar 31, 2025 | -5,864.21% |
| Dec 31, 2024 | -68,971.93% |
| Sep 30, 2024 | -33,501.07% |
| Mar 31, 2024 | -5,493,889.47% |
Gaxos.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=GXAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GXAI", "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=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();