Vtex (VTEX) Property, Plant & Equipment (Net) (2020 - 2026)
Vtex's Property, Plant & Equipment (Net) came in at $3.06 million for Q2 2026, up 2.5% from $2.99 million a year earlier but down 2.7% from the prior quarter.
Vtex (VTEX) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2025, Vtex's Property, Plant & Equipment (Net) was $3.25 million, up 9.3% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -6.5% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $2.97 million in FY2024 (+10.9%), $2.68 million in FY2023 (-31.5%), $3.91 million in FY2022 (-17.0%) and $4.71 million in FY2021 (+3.5%).
- The five-year range for quarterly Property, Plant & Equipment (Net) is $2.68 million (Q4 2023) to $4.91 million (Q3 2021).
- Year-over-year, Property, Plant & Equipment (Net) has increased for eight consecutive quarters, with growth averaging 4.9% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2024 (growth of 10.9%), and the weakest in Q4 2023 (a decline of 31.5%).
- Business Quant data shows VTEX's Property, Plant & Equipment (Net) at $3.15 million (Q1 2026), $3.25 million (Q4 2025) and $3.41 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,462.85 Bn | 3,197.75 Bn | 76.16 Bn | 372.83 Bn |
| 2 | Meta Platforms | 1,559.43 Bn | 1,223.94 Bn | 51.23 Bn | 253.22 Bn |
| 3 | Netflix | 262.12 Bn | 223.42 Bn | 6.80 Bn | 2.56 Bn |
| 4 | Alibaba Group Holding | 253.57 Bn | 67.20 Bn | 15.16 Bn | 46.06 Bn |
| 5 | Shopify | 191.77 Bn | 170.57 Bn | 1.78 Bn | 50.00 Mn |
| 6 | Uber Technologies | 139.89 Bn | 110.71 Bn | 6.42 Bn | 1.82 Bn |
| 7 | AppLovin | 130.31 Bn | 118.84 Bn | 1.94 Bn | 113.34 Mn |
| 8 | Spotify Technology | 123.80 Bn | 80.72 Bn | 1.89 Bn | 215.48 Mn |
| 9 | Booking Holdings | 120.61 Bn | 54.35 Bn | - | 748.00 Mn |
| 10 | Vtex | 710.41 Mn | -46.50 Mn | 50.55 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.00 Mn |
| Jun 30, 2026 | 3.06 Mn |
| Mar 31, 2026 | 3.15 Mn |
| Dec 31, 2025 | 3.25 Mn |
| Sep 30, 2025 | 3.41 Mn |
| Jun 30, 2025 | 2.99 Mn |
| Mar 31, 2025 | 2.97 Mn |
| Dec 31, 2024 | 2.97 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 2.95 Mn |
| Mar 31, 2024 | 2.97 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 3.13 Mn |
| Jun 30, 2023 | 3.47 Mn |
| Mar 31, 2023 | 3.89 Mn |
| Dec 31, 2022 | 3.91 Mn |
| Sep 30, 2022 | 4.11 Mn |
| Jun 30, 2022 | 4.57 Mn |
| Dec 31, 2021 | 4.71 Mn |
| Sep 30, 2021 | 4.91 Mn |
Vtex Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();