Veeva Systems (VEEV) Receivables - Net (2013 - 2026)
Veeva Systems (VEEV) posted Receivables - Net of $496.68 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.7% from $422.07 million a year earlier but down 12.6% from the prior quarter.
Veeva Systems (VEEV) Receivables - Net (2013 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Veeva Systems' Receivables - Net came in at $1.26 billion, up 23.9% from FY2025.
- Annual Receivables - Net has increased for 13 consecutive fiscal years, with a five-year compound annual growth rate of 17.4% (FY2021 to FY2026).
- In prior fiscal years, Veeva Systems' Receivables - Net was $1.02 billion in FY2025 (+19.3%), $852.17 million in FY2024 (+21.2%), $703.06 million in FY2023 (+11.4%) and $631.13 million in FY2022 (+11.8%).
- Quarterly Receivables - Net has run from a low of $211.05 million in fiscal Q3 2022 to a high of $1.26 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Receivables - Net has increased in each of the last eight quarters, with growth averaging 18.9% over the last eight quarters.
- The strongest year-over-year quarter for Receivables - Net in the past five years was fiscal Q1 2026, with growth of 36.0%; the weakest was fiscal Q1 2025, with a decline of 12.3%.
- According to Business Quant data, Receivables - Net for the three prior fiscal quarters was $568.02 million (Q1 2027), $1.26 billion (Q4 2026) and $314.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 496.68 Mn |
| Apr 30, 2026 | 568.02 Mn |
| Jan 31, 2026 | 1.26 Bn |
| Oct 31, 2025 | 314.23 Mn |
| Jul 31, 2025 | 422.07 Mn |
| Apr 30, 2025 | 492.85 Mn |
| Jan 31, 2025 | 1.02 Bn |
| Oct 31, 2024 | 255.82 Mn |
| Jul 31, 2024 | 364.72 Mn |
| Apr 30, 2024 | 362.32 Mn |
| Jan 31, 2024 | 852.17 Mn |
| Oct 31, 2023 | 255.50 Mn |
| Jul 31, 2023 | 379.07 Mn |
| Apr 30, 2023 | 412.94 Mn |
| Jan 31, 2023 | 703.06 Mn |
| Oct 31, 2022 | 242.86 Mn |
| Jul 31, 2022 | 313.22 Mn |
| Apr 30, 2022 | 329.68 Mn |
| Jan 31, 2022 | 631.13 Mn |
| Oct 31, 2021 | 211.05 Mn |
Veeva Systems Receivables - Net 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=receivables-net&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();