Vnet (VNET) Price to Book (2011 - 2026)
Vnet's (VNET) Price to Book was 3.06 for the quarter ended Jun 30, 2026, up 57.2% from 1.94 a year earlier but down 4.5% from the prior quarter.
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Analysis
Vnet (VNET) Price to Book (2011 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Price to Book at Vnet was 2.32, up 74.7% from the prior year.
- By year, Price to Book came in at 1.33 in the year ended Dec 31, 2024 (-100.0%), 738733.67 in the year ended Dec 31, 2023, 0.83 in the year ended Dec 31, 2022 (-24.2%) and 1.09 in the year ended Dec 31, 2021 (-75.6%).
- Five-year quarterly Price to Book spans a low of 0.45 in the quarter ended Mar 31, 2024 and a high of 3.20 in the quarter ended Mar 31, 2026.
- Year over year, Price to Book has now increased in each of the last nine quarters, with growth averaging 148.8% over the last eight quarters.
- The high point for year-over-year Price to Book in five years was the quarter ended Mar 31, 2025 (growth of 426.6%); the low point was the quarter ended Mar 31, 2022 (a decline of 79.8%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at 3.20 (quarter ended Mar 31, 2026), 2.35 (quarter ended Dec 31, 2025) and 3.08 (quarter ended Sep 30, 2025).
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 | Vnet | 1.49 Bn | -1.95 Bn | 74.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06 |
| Mar 31, 2026 | 3.20 |
| Dec 31, 2025 | 2.35 |
| Sep 30, 2025 | 3.08 |
| Jun 30, 2025 | 1.94 |
| Mar 31, 2025 | 2.35 |
| Dec 31, 2024 | 1.31 |
| Sep 30, 2024 | 1.07 |
| Jun 30, 2024 | 0.60 |
| Mar 31, 2024 | 0.45 |
| Dec 31, 2023 | 0.82 |
| Sep 30, 2023 | 0.49 |
| Jun 30, 2023 | 0.45 |
| Mar 31, 2023 | 0.46 |
| Dec 31, 2022 | 0.85 |
| Jun 30, 2022 | 0.79 |
| Mar 31, 2022 | 0.69 |
| Dec 31, 2021 | 1.10 |
| Sep 30, 2021 | 2.05 |
| Jun 30, 2021 | 2.77 |
API Access
Vnet 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=VNET&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VNET", "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=VNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();