Veeva Systems (VEEV) Assets (2013 - 2026)
Veeva Systems (VEEV) posted Assets of $9.1 billion for Q3 2026, down 0.76% on a QoQ basis from $9.1 billion in Q2 2026, and up 13.26% year-over-year from $8.0 billion in Q3 2025.
Veeva Systems (VEEV) Assets (2013 - 2026) Analysis & Trends
Veeva Systems has reported Assets for 14 years, with the latest figure at $9.1 billion in Q3 2026.
- On a quarterly basis, Assets rose 13.26% year-over-year to $9.1 billion in Q3 2026; TTM through Jul 2026 was $9.1 billion, a 13.26% increase from a year earlier, with the FY2026 full-year figure at $9.0 billion, up 22.34% from the prior year.
- Assets was $9.1 billion for Q3 2026 at Veeva Systems, down from $9.1 billion in the prior quarter.
- The five-year high for Assets was $9.1 billion in Q2 2026, with the low at $3.8 billion in Q1 2022.
- Average Assets over 5 years is $6.3 billion, with a median of $6.2 billion recorded in 2024.
- The sharpest annual moves came in 2023 and 2026: Assets rose 27.0% in 2023, then climbed 13.26% in 2026.
- Over 5 years, Assets stood at $4.2 billion in 2022, then grew by 24.94% to $5.2 billion in 2023, then advanced by 23.48% to $6.5 billion in 2024, then gained by 25.48% to $8.1 billion in 2025, then climbed by 11.89% to $9.1 billion in 2026.
- The last three Assets figures came in at $9.1 billion (Q3 2026), $9.1 billion (Q2 2026), and $9.0 billion (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 9.06 Bn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 2.77 Bn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 3.18 Bn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 6.51 Bn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 8.54 Bn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 2.07 Bn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 698.65 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 10.14 Bn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 3.58 Bn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 2.24 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.06 Bn |
| Apr 30, 2026 | 9.13 Bn |
| Jan 31, 2026 | 8.98 Bn |
| Oct 31, 2025 | 8.10 Bn |
| Jul 31, 2025 | 8.00 Bn |
| Apr 30, 2025 | 7.77 Bn |
| Jan 31, 2025 | 7.34 Bn |
| Oct 31, 2024 | 6.45 Bn |
| Jul 31, 2024 | 6.33 Bn |
| Apr 30, 2024 | 6.19 Bn |
| Jan 31, 2024 | 5.91 Bn |
| Oct 31, 2023 | 5.23 Bn |
| Jul 31, 2023 | 5.23 Bn |
| Apr 30, 2023 | 5.02 Bn |
| Jan 31, 2023 | 4.80 Bn |
| Oct 31, 2022 | 4.18 Bn |
| Jul 31, 2022 | 4.12 Bn |
| Apr 30, 2022 | 4.01 Bn |
| Jan 31, 2022 | 3.82 Bn |
| Oct 31, 2021 | 3.37 Bn |
Veeva Systems 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=assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();