Gaxos.Ai (GXAI) Non-Current Assets (2022 - 2026)
Gaxos.Ai's Non-Current Assets was $5.57 million in Q2 2026, up 517.4% from $902,000 a year earlier.
Analysis
Gaxos.Ai (GXAI) Non-Current Assets (2022 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Gaxos.Ai came in at $821,726, up 320.5% from FY2024.
- Non-Current Assets shows a three-year compound annual growth rate of 141.1% (FY2022 to FY2025).
- In earlier years, Non-Current Assets was $195,411 in FY2024 (+265.9%), $53,407 in FY2023 (-8.9%) and $58,647 in FY2022.
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2022.
- The best year-over-year quarter for Non-Current Assets over five years was Q3 2024 (growth of 663.3%); the worst was Q4 2023 (a decline of 8.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 6.05 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 4.48 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 38.70 Bn |
| 10 | Gaxos.Ai | 5.80 Mn | 4.85 Mn | - | 5.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.57 Mn |
| Dec 31, 2025 | 821,726.00 |
| Sep 30, 2025 | 865,310.00 |
| Jun 30, 2025 | 902,000.00 |
| Mar 31, 2025 | 936,462.00 |
| Dec 31, 2024 | 195,411.00 |
| Sep 30, 2024 | 188,917.00 |
| Jun 30, 2024 | 203,107.00 |
| Mar 31, 2024 | 216,034.00 |
| Dec 31, 2023 | 53,407.00 |
| Sep 30, 2023 | 24,749.00 |
| Mar 31, 2023 | 55,505.00 |
| Dec 31, 2022 | 58,647.00 |
API Access
Gaxos.Ai Non-Current Assets 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=non-current-assets&ticker=GXAI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();