Vtex (VTEX) Price to Book (2021 - 2026)
Vtex's Price to Book was 3.09 in Q2 2026, down 59.4% from 7.61 a year earlier but up 4.1% from the prior quarter.
Analysis
Vtex (VTEX) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Price to Book at Vtex came in at 2.78, down 58.4% from FY2024.
- In earlier years, Price to Book was 6.69 in FY2024 (-19.6%), 8.32 in FY2023 (+220.1%), 2.60 in FY2022 (-58.5%) and 6.26 in FY2021.
- Quarterly Price to Book has moved between 2.02 (Q2 2022) and 10.50 (Q3 2021) over five years.
- The best year-over-year quarter for Price to Book over five years was Q1 2024 (growth of 257.9%); the worst was Q3 2022 (a decline of 75.7%).
- Per Business Quant data, VTEX's Price to Book in the three quarters before Q2 2026 was 2.97 (Q1 2026), 2.78 (Q4 2025) and 5.23 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,248.48 Bn | 4,006.00 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,873.50 Bn | 1,576.02 Bn | 49.47 Bn |
| 3 | Netflix | 304.25 Bn | 264.45 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 257.83 Bn | 71.60 Bn | 15.11 Bn |
| 5 | Shopify | 230.63 Bn | 207.82 Bn | 1.71 Bn |
| 6 | Uber Technologies | 145.10 Bn | 116.90 Bn | 6.38 Bn |
| 7 | Booking Holdings | 127.39 Bn | 60.44 Bn | - |
| 8 | PDD Holdings | 115.26 Bn | -128.52 Bn | 9.45 Bn |
| 9 | Spotify Technology | 109.42 Bn | 66.92 Bn | 1.86 Bn |
| 10 | Vtex | 760.70 Mn | -13.61 Mn | 51.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.09 |
| Mar 31, 2026 | 2.97 |
| Dec 31, 2025 | 2.78 |
| Sep 30, 2025 | 5.23 |
| Jun 30, 2025 | 7.61 |
| Dec 31, 2024 | 6.69 |
| Jun 30, 2024 | 8.35 |
| Mar 31, 2024 | 9.71 |
| Dec 31, 2023 | 8.32 |
| Sep 30, 2023 | 3.85 |
| Jun 30, 2023 | 3.51 |
| Mar 31, 2023 | 2.71 |
| Dec 31, 2022 | 2.60 |
| Sep 30, 2022 | 2.55 |
| Jun 30, 2022 | 2.02 |
| Mar 31, 2022 | 3.73 |
| Dec 31, 2021 | 6.26 |
| Sep 30, 2021 | 10.50 |
API Access
Vtex 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=VTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "VTEX", "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=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();