Veeva Systems (VEEV) Total Liabilities (2013 - 2026)
Veeva Systems' Total Liabilities came in at $1.63 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 19.7% from $1.36 billion a year earlier but down 10.8% from the prior quarter.
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Analysis
Veeva Systems (VEEV) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Veeva Systems' Total Liabilities was $1.76 billion, up 17.1% from FY2025.
- Total Liabilities has increased in each of the last 13 fiscal years, with a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.51 billion in FY2025 (+19.1%), $1.27 billion in FY2024 (+16.4%), $1.09 billion in FY2023 (+20.2%) and $904.83 million in FY2022 (+16.0%).
- The five-year range for quarterly Total Liabilities is $598.13 million (fiscal Q3 2022) to $1.83 billion (fiscal Q1 2027).
- Year-over-year, Total Liabilities has increased for 48 consecutive quarters, with growth averaging 16.9% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 6.6% in fiscal Q2 2025 to 27.7% in fiscal Q3 2023.
- Business Quant data shows VEEV's Total Liabilities at $1.83 billion (Q1 2027), $1.76 billion (Q4 2026) and $1.06 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 49.70 Bn | 21.94 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 24.71 Bn | 21.48 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Ptc | 22.46 Bn | 21.27 Bn | 490.47 Mn | 3.04 Bn |
| 5 | Toast | 20.17 Bn | 12.81 Bn | 543.00 Mn | 1.09 Bn |
| 6 | Manhattan Associates | 14.80 Bn | 13.86 Bn | 174.30 Mn | 550.07 Mn |
| 7 | Bentley Systems | 14.11 Bn | 13.58 Bn | 349.55 Mn | 2.29 Bn |
| 8 | Trimble | 12.72 Bn | 11.80 Bn | 659.10 Mn | 3.56 Bn |
| 9 | Costar | 12.56 Bn | 7.94 Bn | 741.00 Mn | 2.27 Bn |
| 10 | Procore Technologies | 11.50 Bn | 8.87 Bn | 323.62 Mn | 1.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.63 Bn |
| Apr 30, 2026 | 1.83 Bn |
| Jan 31, 2026 | 1.76 Bn |
| Oct 31, 2025 | 1.06 Bn |
| Jul 31, 2025 | 1.36 Bn |
| Apr 30, 2025 | 1.55 Bn |
| Jan 31, 2025 | 1.51 Bn |
| Oct 31, 2024 | 951.45 Mn |
| Jul 31, 2024 | 1.15 Bn |
| Apr 30, 2024 | 1.30 Bn |
| Jan 31, 2024 | 1.27 Bn |
| Oct 31, 2023 | 846.00 Mn |
| Jul 31, 2023 | 1.08 Bn |
| Apr 30, 2023 | 1.08 Bn |
| Jan 31, 2023 | 1.09 Bn |
| Oct 31, 2022 | 763.93 Mn |
| Jul 31, 2022 | 872.65 Mn |
| Apr 30, 2022 | 942.95 Mn |
| Jan 31, 2022 | 904.83 Mn |
| Oct 31, 2021 | 598.13 Mn |
API Access
Veeva Systems Total 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-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();