Xunlei (XNET) Price to Book (2014 - 2023)
Xunlei's (XNET) Price to Book was 0.41 for the quarter ended Dec 31, 2023, down 15.5% from 0.48 a year earlier.
Analysis
Xunlei (XNET) Price to Book (2014 - 2023) Analysis & Trends
Dating back to the quarter ended Jun 30, 2014, Xunlei's Price to Book record includes 18 quarters.
- Price to Book has declined for four consecutive years.
- By year, Price to Book came in at 0.48 in the year ended Dec 31, 2022 (-14.6%), 0.56 in the year ended Dec 31, 2021 (-32.5%), 0.83 in the year ended Dec 31, 2020 (-40.3%) and 1.39 in the year ended Dec 31, 2019 (+67.8%).
- The figure for the quarter ended Dec 31, 2023 ranks as the lowest quarterly Price to Book since the quarter ended Sep 30, 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Xunlei | 379.49 Mn | -762.12 Mn | 57.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 0.41 |
| Dec 31, 2022 | 0.48 |
| Sep 30, 2022 | 0.25 |
| Jun 30, 2022 | 0.28 |
| Mar 31, 2022 | 0.31 |
| Dec 31, 2021 | 0.56 |
| Dec 31, 2020 | 0.83 |
| Dec 31, 2019 | 1.39 |
| Dec 31, 2018 | 0.83 |
| Dec 31, 2017 | 3.35 |
| Dec 31, 2016 | 0.79 |
| Dec 31, 2015 | 1.44 |
| Sep 30, 2015 | 0.78 |
| Jun 30, 2015 | 1.29 |
| Mar 31, 2015 | 0.69 |
| Dec 31, 2014 | 0.78 |
| Sep 30, 2014 | 0.37 |
| Jun 30, 2014 | 0.52 |
API Access
Xunlei 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=XNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "XNET", "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=XNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();