Vertical Data (VDTA) Property, Plant & Equipment (Net) (2024 - 2026)
Vertical Data (VDTA) recorded Property, Plant & Equipment (Net) of $1,185 in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 23.4% from $1,548 a year earlier and down 7.1% from the prior quarter.
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Analysis
Vertical Data (VDTA) Property, Plant & Equipment (Net) (2024 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Vertical Data reported Property, Plant & Equipment (Net) of $1,457, up 9.6% from FY2024.
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $1,329 in FY2024.
- Per Business Quant, the preceding three fiscal quarters came in at $1,276 (Q2 2026), $1,367 (Q1 2026) and $1,457 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 980.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 163.60 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 565.11 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | 253.96 Mn |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 452.90 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 203.12 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 637.03 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 122.88 Mn |
| 10 | Vertical Data | 39.41 Mn | 29.71 Mn | 247,212.00 | 1,185.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,185.00 |
| Mar 31, 2026 | 1,276.00 |
| Dec 31, 2025 | 1,367.00 |
| Sep 30, 2025 | 1,457.00 |
| Jun 30, 2025 | 1,548.00 |
| Sep 30, 2024 | 1,329.00 |
API Access
Vertical Data 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=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VDTA", "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=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();