Veeva Systems (VEEV) Other Non-Current Liabilities (2013 - 2026)
Veeva Systems' Other Non-Current Liabilities came in at $33.71 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 10.1% from $30.61 million a year earlier and up 4.2% from the prior quarter.
Veeva Systems (VEEV) Other Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Veeva Systems' Other Non-Current Liabilities was $43.27 million, up 1.6% from FY2025.
- Other Non-Current Liabilities has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 32.6% (FY2021 to FY2026).
- Going back by fiscal year, Other Non-Current Liabilities was $42.59 million in FY2025 (+10.0%), $38.72 million in FY2024 (+28.7%), $30.08 million in FY2023 (+65.0%) and $18.23 million in FY2022 (+72.5%).
- The five-year range for quarterly Other Non-Current Liabilities is $14.06 million (fiscal Q3 2022) to $43.27 million (fiscal Q4 2026).
- Year-over-year, Other Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 5.4% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q4 2022 (growth of 72.5%), and the weakest in fiscal Q2 2026 (a decline of 1.9%).
- Business Quant data shows VEEV's Other Non-Current Liabilities at $32.35 million (Q1 2027), $43.27 million (Q4 2026) and $32.01 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 33.71 Mn |
| Apr 30, 2026 | 32.35 Mn |
| Jan 31, 2026 | 43.27 Mn |
| Oct 31, 2025 | 32.01 Mn |
| Jul 31, 2025 | 30.61 Mn |
| Apr 30, 2025 | 30.28 Mn |
| Jan 31, 2025 | 42.59 Mn |
| Oct 31, 2024 | 31.43 Mn |
| Jul 31, 2024 | 31.20 Mn |
| Apr 30, 2024 | 28.84 Mn |
| Jan 31, 2024 | 38.72 Mn |
| Oct 31, 2023 | 28.58 Mn |
| Jul 31, 2023 | 24.41 Mn |
| Apr 30, 2023 | 25.10 Mn |
| Jan 31, 2023 | 30.08 Mn |
| Oct 31, 2022 | 21.87 Mn |
| Jul 31, 2022 | 19.50 Mn |
| Apr 30, 2022 | 19.90 Mn |
| Jan 31, 2022 | 18.23 Mn |
| Oct 31, 2021 | 14.06 Mn |
Veeva Systems Other Non-Current Liabilities 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-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();