Gaxos.Ai (GXAI) Accumulated Depreciation (2023 - 2026)
Gaxos.Ai (GXAI) reported Accumulated Depreciation of $43,893 for Q2 2026, down 17.6% from $53,251 a year earlier.
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Analysis
Gaxos.Ai (GXAI) Accumulated Depreciation (2023 - 2026) Analysis & Trends
At the end of FY2025, Gaxos.Ai posted Accumulated Depreciation of $81,838, up 157.3% from FY2024.
- By year, Accumulated Depreciation came in at $31,807 in FY2024 (+628.7%) and $4,365 in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Accumulated Depreciation since Q1 2025.
- Year over year, Accumulated Depreciation gained in five of the last six quarters, with growth averaging 241.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn |
| 10 | Gaxos.Ai | 5.59 Mn | 4.63 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43,893.00 |
| Dec 31, 2025 | 81,838.00 |
| Sep 30, 2025 | 66,741.00 |
| Jun 30, 2025 | 53,251.00 |
| Mar 31, 2025 | 41,589.00 |
| Dec 31, 2024 | 31,807.00 |
| Sep 30, 2024 | 23,901.00 |
| Jun 30, 2024 | 17,211.00 |
| Mar 31, 2024 | 10,548.00 |
| Dec 31, 2023 | 4,365.00 |
API Access
Gaxos.Ai Accumulated Depreciation 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=accumulated-depreciation&ticker=GXAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "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=accumulated-depreciation&ticker=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();