Gaxos.Ai (GXAI) Return on Capital Employed [ROCE] (2023 - 2026)
Gaxos.Ai (GXAI) reported Return on Capital Employed [ROCE] of -37.64% for Q2 2026, down 10.23 percentage points from -27.41% a year earlier.
Gaxos.Ai (GXAI) Return on Capital Employed [ROCE] (2023 - 2026) Analysis & Trends
For FY2025, Gaxos.Ai posted Return on Capital Employed [ROCE] of -33.81%, up 3.38 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a three-year change of +79.75 percentage points (FY2022 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at -37.19% in FY2024 (+158.81 pp), -196.00% in FY2023 (-82.44 pp) and -113.56% in FY2022.
- The Q2 2026 figure ranks as the lowest quarterly Return on Capital Employed [ROCE] since Q3 2024.
- Year over year, Return on Capital Employed [ROCE] gained in five of the last seven quarters, with an average year-over-year change of +28.56 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q4 2024 (a gain of 73.98 percentage points); the low point was Q2 2024 (a drop of 14.79 percentage points).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 265.98 Bn | 251.06 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 231.16 Bn | 211.60 Bn | 1.10 Bn | -1.66% |
| 3 | Snowflake | 104.28 Bn | 91.59 Bn | 1.04 Bn | -25.24% |
| 4 | Fortinet | 90.77 Bn | 75.03 Bn | 1.64 Bn | 41.17% |
| 5 | Datadog | 64.41 Bn | 44.95 Bn | 959.92 Mn | 1.64% |
| 6 | Zscaler | 31.78 Bn | 17.94 Bn | 689.22 Mn | -2.95% |
| 7 | Okta | 29.81 Bn | 21.96 Bn | 641.00 Mn | 3.21% |
| 8 | Baidu | 27.12 Bn | -46.32 Bn | 1.80 Bn | -1.85% |
| 9 | MongoDB | 26.74 Bn | 17.21 Bn | 569.77 Mn | -0.47% |
| 10 | Gaxos.Ai | 4.41 Mn | -44.86 Mn | - | -44.82% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -44.82% |
| Mar 31, 2026 | -43.21% |
| Dec 31, 2025 | -37.32% |
| Sep 30, 2025 | -31.88% |
| Jun 30, 2025 | -27.41% |
| Mar 31, 2025 | -25.22% |
| Dec 31, 2024 | -31.73% |
| Sep 30, 2024 | -63.77% |
| Jun 30, 2024 | -70.04% |
| Mar 31, 2024 | -81.32% |
| Dec 31, 2023 | -105.72% |
| Sep 30, 2023 | -74.89% |
| Jun 30, 2023 | -55.24% |
| Mar 31, 2023 | -80.72% |
Gaxos.Ai Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=GXAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();