Gaxos.Ai (GXAI) Operating Margin (2024 - 2026)
Gaxos.Ai (GXAI) recorded Operating Margin of -75.88% in Q2 2026, up 498.89 percentage points from -574.77% a year earlier.
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Analysis
Gaxos.Ai (GXAI) Operating Margin (2024 - 2026) Analysis & Trends
On a TTM basis, Gaxos.Ai's Operating Margin came in at -123.43% as of Jun 30, 2026, up 1979.96 percentage points year-over-year; for FY2025, it was -254.34%, up 91714.99 percentage points from FY2024.
- Across earlier years, Operating Margin came in at -91969.33% in FY2024 (+1476501.37 pp) and -1568470.70% in FY2023.
- The Q2 2026 figure is the highest quarterly Operating Margin in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | -2.26% |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | -17.00% |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 33.89% |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 6.24% |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | -1.72% |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 13.29% |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | 9.66% |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | 3.68% |
| 10 | Gaxos.Ai | 4.41 Mn | -44.86 Mn | - | -75.88% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -75.88% |
| Mar 31, 2026 | -140.77% |
| 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% |
API Access
Gaxos.Ai Operating Margin 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=operating-margin&ticker=GXAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();