Veeva Systems (VEEV) Total Non-Current Liabilities (2013 - 2026)
Veeva Systems' Total Non-Current Liabilities was $1.6 billion in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 19.9% from $1.33 billion a year earlier but down 11.0% from the prior quarter.
Veeva Systems (VEEV) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Veeva Systems came in at $1.72 billion, up 17.5% from FY2025.
- Total Non-Current Liabilities has now increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 17.5% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $1.46 billion in FY2025 (+19.3%), $1.23 billion in FY2024 (+16.0%), $1.06 billion in FY2023 (+19.3%) and $886.6 million in FY2022 (+15.3%).
- Quarterly Total Non-Current Liabilities has moved between $584.07 million (fiscal Q3 2022) and $1.79 billion (fiscal Q1 2027) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 48 straight quarters, with growth averaging 17.2% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 6.1% (fiscal Q2 2025) and 27.0% (fiscal Q3 2023) over the last five years.
- Per Business Quant data, VEEV's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $1.79 billion (Q1 2027), $1.72 billion (Q4 2026) and $1.02 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn | 2.26 Bn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn | 955.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.60 Bn |
| Apr 30, 2026 | 1.79 Bn |
| Jan 31, 2026 | 1.72 Bn |
| Oct 31, 2025 | 1.02 Bn |
| Jul 31, 2025 | 1.33 Bn |
| Apr 30, 2025 | 1.52 Bn |
| Jan 31, 2025 | 1.46 Bn |
| Oct 31, 2024 | 920.02 Mn |
| Jul 31, 2024 | 1.11 Bn |
| Apr 30, 2024 | 1.27 Bn |
| Jan 31, 2024 | 1.23 Bn |
| Oct 31, 2023 | 817.42 Mn |
| Jul 31, 2023 | 1.05 Bn |
| Apr 30, 2023 | 1.06 Bn |
| Jan 31, 2023 | 1.06 Bn |
| Oct 31, 2022 | 742.05 Mn |
| Jul 31, 2022 | 853.15 Mn |
| Apr 30, 2022 | 923.05 Mn |
| Jan 31, 2022 | 886.60 Mn |
| Oct 31, 2021 | 584.07 Mn |
Veeva Systems Total 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=total-non-current-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();