Veeva Systems (VEEV) Property, Plant & Equipment (Net) (2013 - 2026)
Veeva Systems' Property, Plant & Equipment (Net) came in at $79.48 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 29.9% from $61.21 million a year earlier and up 8.2% from the prior quarter.
Veeva Systems (VEEV) Property, Plant & Equipment (Net) (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Veeva Systems' Property, Plant & Equipment (Net) was $70.26 million, up 25.7% from FY2025.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 5.5% (FY2021 to FY2026).
- Going back by fiscal year, Property, Plant & Equipment (Net) was $55.91 million in FY2025 (-4.5%), $58.53 million in FY2024 (+17.5%), $49.82 million in FY2023 (-8.6%) and $54.5 million in FY2022 (+1.6%).
- The fiscal Q2 2027 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to fiscal Q4 2013.
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in fiscal Q2 2027 (growth of 29.9%), and the weakest in fiscal Q4 2023 (a decline of 8.6%).
- Business Quant data shows VEEV's Property, Plant & Equipment (Net) at $73.48 million (Q1 2027), $70.26 million (Q4 2026) and $66.12 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn | 79.48 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn | 88.03 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 62.84 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn | 149.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn | 183.20 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn | 24.61 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 1.44 Bn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn | 42.37 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn | 50.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 79.48 Mn |
| Apr 30, 2026 | 73.48 Mn |
| Jan 31, 2026 | 70.26 Mn |
| Oct 31, 2025 | 66.12 Mn |
| Jul 31, 2025 | 61.21 Mn |
| Apr 30, 2025 | 58.51 Mn |
| Jan 31, 2025 | 55.91 Mn |
| Oct 31, 2024 | 55.70 Mn |
| Jul 31, 2024 | 56.69 Mn |
| Apr 30, 2024 | 58.04 Mn |
| Jan 31, 2024 | 58.53 Mn |
| Oct 31, 2023 | 57.60 Mn |
| Jul 31, 2023 | 56.94 Mn |
| Apr 30, 2023 | 50.06 Mn |
| Jan 31, 2023 | 49.82 Mn |
| Oct 31, 2022 | 51.14 Mn |
| Jul 31, 2022 | 52.41 Mn |
| Apr 30, 2022 | 53.82 Mn |
| Jan 31, 2022 | 54.50 Mn |
| Oct 31, 2021 | 53.46 Mn |
Veeva Systems 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=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VEEV", "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=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();