Veeva Systems (VEEV) Non-Current Assets (2013 - 2026)
Veeva Systems (VEEV) posted Non-Current Assets of $1.1 billion for Q3 2026, up 4.47% on a QoQ basis from $1.1 billion in Q2 2026, and up 10.86% year-over-year from $1.0 billion in Q3 2025.
Veeva Systems (VEEV) Non-Current Assets (2013 - 2026) Analysis & Trends
Veeva Systems has reported Non-Current Assets for 14 years, with the latest figure at $1.1 billion in Q3 2026.
- On a quarterly basis, Non-Current Assets rose 10.86% year-over-year to $1.1 billion in Q3 2026; TTM through Jul 2026 was $4.1 billion, a 1.18% increase from a year earlier, with the FY2026 full-year figure at $981.7 million, down 4.78% from the prior year.
- Non-Current Assets was $1.1 billion for Q3 2026 at Veeva Systems, up from $1.1 billion in the prior quarter.
- The five-year high for Non-Current Assets was $1.1 billion in Q3 2026, with the low at $709.3 million in Q1 2022.
- Average Non-Current Assets over 5 years is $920.4 million, with a median of $942.6 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2026: Non-Current Assets climbed 17.72% in 2023, then fell 4.78% in 2026.
- Over 5 years, Non-Current Assets stood at $796.2 million in 2022, then climbed by 11.78% to $890.0 million in 2023, then rose by 13.0% to $1.0 billion in 2024, then declined by 2.03% to $985.3 million in 2025, then rose by 13.06% to $1.1 billion in 2026.
- The last three Non-Current Assets figures came in at $1.1 billion (Q3 2026), $1.1 billion (Q2 2026), and $981.7 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 1.11 Bn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 1.20 Bn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 531.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 5.14 Bn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 7.20 Bn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 502.84 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 231.59 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 8.49 Bn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 3.00 Bn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 1.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.11 Bn |
| Apr 30, 2026 | 1.07 Bn |
| Jan 31, 2026 | 981.71 Mn |
| Oct 31, 2025 | 985.30 Mn |
| Jul 31, 2025 | 1.00 Bn |
| Apr 30, 2025 | 1.06 Bn |
| Jan 31, 2025 | 1.03 Bn |
| Oct 31, 2024 | 1.01 Bn |
| Jul 31, 2024 | 962.99 Mn |
| Apr 30, 2024 | 942.61 Mn |
| Jan 31, 2024 | 907.71 Mn |
| Oct 31, 2023 | 890.01 Mn |
| Jul 31, 2023 | 866.39 Mn |
| Apr 30, 2023 | 835.24 Mn |
| Jan 31, 2023 | 834.98 Mn |
| Oct 31, 2022 | 796.23 Mn |
| Jul 31, 2022 | 760.44 Mn |
| Apr 30, 2022 | 735.93 Mn |
| Jan 31, 2022 | 709.28 Mn |
| Oct 31, 2021 | 707.69 Mn |
Veeva Systems Non-Current Assets 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=non-current-assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();