Vertex (VERX) Property, Plant & Equipment (Net) (2019 - 2026)
Vertex's Property, Plant & Equipment (Net) came in at $220.47 million for Q2 2026, up 13.0% from $195.03 million a year earlier and unchanged from the prior quarter.
Vertex (VERX) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, Vertex's Property, Plant & Equipment (Net) was $209.73 million, up 18.1% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $177.56 million in FY2024 (+76.3%), $100.73 million in FY2023 (-0.4%), $101.09 million in FY2022 (+4.5%) and $96.71 million in FY2021 (+71.0%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2019.
- Year-over-year, Property, Plant & Equipment (Net) has increased for ten consecutive quarters, with growth averaging 47.8% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2025 (growth of 84.5%), and the weakest in Q4 2023 (a decline of 0.4%).
- Business Quant data shows VERX's Property, Plant & Equipment (Net) at $220.41 million (Q1 2026), $209.73 million (Q4 2025) and $202.66 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 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 61.40 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 127.85 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 3.04 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 2.18 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 641.30 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 1.02 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | 97.94 Mn |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 28.34 Mn |
| 10 | Vertex | 1.94 Bn | 797.28 Mn | 131.30 Mn | 220.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 220.47 Mn |
| Mar 31, 2026 | 220.41 Mn |
| Dec 31, 2025 | 209.73 Mn |
| Sep 30, 2025 | 202.66 Mn |
| Jun 30, 2025 | 195.03 Mn |
| Mar 31, 2025 | 185.56 Mn |
| Dec 31, 2024 | 177.56 Mn |
| Sep 30, 2024 | 178.58 Mn |
| Jun 30, 2024 | 108.41 Mn |
| Mar 31, 2024 | 100.59 Mn |
| Dec 31, 2023 | 100.73 Mn |
| Sep 30, 2023 | 100.27 Mn |
| Jun 30, 2023 | 98.91 Mn |
| Mar 31, 2023 | 99.50 Mn |
| Dec 31, 2022 | 101.09 Mn |
| Sep 30, 2022 | 98.02 Mn |
| Jun 30, 2022 | 98.86 Mn |
| Mar 31, 2022 | 97.59 Mn |
| Dec 31, 2021 | 96.71 Mn |
| Sep 30, 2021 | 97.87 Mn |
Vertex 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=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VERX", "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=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();