Gaxos.Ai (GXAI) Price to Book (2023 - 2026)
Gaxos.Ai's (GXAI) Price to Book stood at 0.73 in Q2 2026, up 7.8% from 0.67 a year earlier.
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Analysis
Gaxos.Ai (GXAI) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Gaxos.Ai's Price to Book came in at 0.58, up 111.3% from FY2024.
- Across earlier years, Price to Book came in at 0.27 in FY2024 (-76.7%) and 1.18 in FY2023.
- Quarterly Price to Book has ranged from 0.27 in Q4 2024 to 2.74 in Q1 2023 over the past five years.
- On a year-over-year basis, Price to Book rose in three of the last seven quarters, with growth averaging 8.0%.
- Peak year-over-year performance for Price to Book in the last five years was growth of 139.2% in Q3 2025, against a decline of 76.7% in Q4 2024 at the low end.
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 | 0.73 |
| Dec 31, 2025 | 0.58 |
| Sep 30, 2025 | 0.80 |
| Jun 30, 2025 | 0.67 |
| Mar 31, 2025 | 0.55 |
| Dec 31, 2024 | 0.27 |
| Sep 30, 2024 | 0.34 |
| Jun 30, 2024 | 0.71 |
| Mar 31, 2024 | 1.23 |
| Dec 31, 2023 | 1.18 |
| Sep 30, 2023 | 0.98 |
| Jun 30, 2023 | 1.65 |
| Mar 31, 2023 | 2.74 |
API Access
Gaxos.Ai Price to Book 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=price-to-book&ticker=GXAI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=GXAI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();