Xiao-I (AIXI) Price to Book (2023)
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Analysis
Xiao-I (AIXI) Price to Book (2023) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 284.97 Bn | 270.04 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 261.98 Bn | 242.38 Bn | 1.10 Bn |
| 3 | Fortinet | 131.71 Bn | 117.64 Bn | 1.64 Bn |
| 4 | Snowflake | 113.17 Bn | 100.49 Bn | 1.04 Bn |
| 5 | Datadog | 96.06 Bn | 77.70 Bn | 881.34 Mn |
| 6 | Zscaler | 40.62 Bn | 26.74 Bn | - |
| 7 | Okta | 36.94 Bn | 27.03 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 33.87 Bn | 28.40 Bn | 546.45 Mn |
| 9 | MongoDB | 29.79 Bn | 20.26 Bn | 569.77 Mn |
| 10 | Xiao-I | 180,946.59 | -11.45 Mn | - |
API Access
Xiao-I 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=AIXI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AIXI", "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=AIXI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();