Veeva Systems (VEEV) Intangibles (2013 - 2026)
Veeva Systems (VEEV) posted Intangibles of $55.6 million for Q3 2026, little changed on a QoQ basis from $55.5 million in Q2 2026, and up 52.69% year-over-year from $36.4 million in Q3 2025.
Veeva Systems (VEEV) Intangibles (2013 - 2026) Analysis & Trends
Veeva Systems has reported Intangibles for 14 years, with the latest figure at $55.6 million in Q3 2026.
- On a quarterly basis, Intangibles rose 52.69% year-over-year to $55.6 million in Q3 2026; TTM through Jul 2026 was $55.6 million, a 52.69% increase from a year earlier, with the FY2026 full-year figure at $30.3 million, down 31.82% from the prior year.
- Intangibles was $55.6 million for Q3 2026 at Veeva Systems, roughly flat from $55.5 million in the prior quarter.
- The five-year high for Intangibles was $101.9 million in Q1 2022, with the low at $30.3 million in Q1 2026.
- Average Intangibles over 5 years is $63.1 million, with a median of $58.2 million recorded in 2024.
- The sharpest annual moves came in 2025 and 2026: Intangibles sank 32.72% in 2025, then soared 52.69% in 2026.
- Over 5 years, Intangibles stood at $87.4 million in 2022, then slipped by 22.27% to $67.9 million in 2023, then retreated by 28.55% to $48.5 million in 2024, then plunged by 32.72% to $32.6 million in 2025, then jumped by 70.43% to $55.6 million in 2026.
- The last three Intangibles figures came in at $55.6 million (Q3 2026), $55.5 million (Q2 2026), and $30.3 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 55.65 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | - |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 11.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 765.80 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 850.40 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 27.60 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | - |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 1.67 Bn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 168.96 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 152.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 55.65 Mn |
| Apr 30, 2026 | 55.51 Mn |
| Jan 31, 2026 | 30.31 Mn |
| Oct 31, 2025 | 32.65 Mn |
| Jul 31, 2025 | 36.45 Mn |
| Apr 30, 2025 | 40.52 Mn |
| Jan 31, 2025 | 44.46 Mn |
| Oct 31, 2024 | 48.53 Mn |
| Jul 31, 2024 | 53.34 Mn |
| Apr 30, 2024 | 58.23 Mn |
| Jan 31, 2024 | 63.02 Mn |
| Oct 31, 2023 | 67.92 Mn |
| Jul 31, 2023 | 72.83 Mn |
| Apr 30, 2023 | 77.73 Mn |
| Jan 31, 2023 | 82.48 Mn |
| Oct 31, 2022 | 87.38 Mn |
| Jul 31, 2022 | 92.29 Mn |
| Apr 30, 2022 | 97.19 Mn |
| Jan 31, 2022 | 101.94 Mn |
| Oct 31, 2021 | 102.56 Mn |
Veeva Systems Intangibles 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=intangibles&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();