Veeva Systems (VEEV) Other Non-Current Assets (2013 - 2026)
Veeva Systems' Other Non-Current Assets came in at $60.47 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.4% from $60.23 million a year earlier but down 8.0% from the prior quarter.
Veeva Systems (VEEV) Other Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Veeva Systems' Other Non-Current Assets was $62.26 million, up 10.1% from FY2025.
- Other Non-Current Assets has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Assets was $56.54 million in FY2025 (+30.6%), $43.3 million in FY2024 (+11.2%), $38.96 million in FY2023 (+17.7%) and $33.11 million in FY2022 (-21.3%).
- The five-year range for quarterly Other Non-Current Assets is $28 million (fiscal Q2 2023) to $65.73 million (fiscal Q1 2027).
- Year-over-year, Other Non-Current Assets has increased for 16 consecutive quarters, with growth averaging 16.2% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in fiscal Q3 2025 (growth of 46.1%), and the weakest in fiscal Q2 2023 (a decline of 25.0%).
- Business Quant data shows VEEV's Other Non-Current Assets at $65.73 million (Q1 2027), $62.26 million (Q4 2026) and $60.54 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 60.47 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 20.13 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 185.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 688.18 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 464.50 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 10.99 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 47.68 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 190.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 76.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 60.47 Mn |
| Apr 30, 2026 | 65.73 Mn |
| Jan 31, 2026 | 62.26 Mn |
| Oct 31, 2025 | 60.54 Mn |
| Jul 31, 2025 | 60.23 Mn |
| Apr 30, 2025 | 62.29 Mn |
| Jan 31, 2025 | 56.54 Mn |
| Oct 31, 2024 | 56.10 Mn |
| Jul 31, 2024 | 55.46 Mn |
| Apr 30, 2024 | 51.85 Mn |
| Jan 31, 2024 | 43.30 Mn |
| Oct 31, 2023 | 38.40 Mn |
| Jul 31, 2023 | 38.90 Mn |
| Apr 30, 2023 | 35.85 Mn |
| Jan 31, 2023 | 38.96 Mn |
| Oct 31, 2022 | 34.14 Mn |
| Jul 31, 2022 | 28.00 Mn |
| Apr 30, 2022 | 30.19 Mn |
| Jan 31, 2022 | 33.11 Mn |
| Oct 31, 2021 | 34.09 Mn |
Veeva Systems Other 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=other-non-current-assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();