Veeva Systems (VEEV) Tax Provisions (2012 - 2026)
Veeva Systems (VEEV) posted Tax Provisions of $76.1 million for Q3 2026, down 12.12% on a QoQ basis from $86.6 million in Q2 2026, and up 16.98% year-over-year from $65.1 million in Q3 2025.
Veeva Systems (VEEV) Tax Provisions (2012 - 2026) Analysis & Trends
Veeva Systems has reported Tax Provisions for 15 years, with the latest figure at $76.1 million in Q3 2026.
- On a quarterly basis, Tax Provisions rose 16.98% year-over-year to $76.1 million in Q3 2026; TTM through Jul 2026 was $312.6 million, a 29.35% increase from a year earlier, with the FY2026 full-year figure at $285.6 million, up 39.15% from the prior year.
- Tax Provisions was $76.1 million for Q3 2026 at Veeva Systems, down from $86.6 million in the prior quarter.
- The five-year high for Tax Provisions was $86.6 million in Q2 2026, with the low at -$53.2 million in Q1 2023.
- Average Tax Provisions over 5 years is $40.0 million, with a median of $45.2 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2023: Tax Provisions soared 842.84% in 2022, then sank 337.55% in 2023.
- Over 5 years, Tax Provisions stood at $25.4 million in 2022, then surged by 39.81% to $35.5 million in 2023, then soared by 59.02% to $56.5 million in 2024, then jumped by 35.59% to $76.6 million in 2025, then fell by 0.63% to $76.1 million in 2026.
- The last three Tax Provisions figures came in at $76.1 million (Q3 2026), $86.6 million (Q2 2026), and $73.3 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 76.10 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 1.30 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 8.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 33.66 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 26.90 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 12.21 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 16.86 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 19.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 16.61 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | -1.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 76.10 Mn |
| Apr 30, 2026 | 86.59 Mn |
| Jan 31, 2026 | 73.33 Mn |
| Oct 31, 2025 | 76.58 Mn |
| Jul 31, 2025 | 65.06 Mn |
| Apr 30, 2025 | 70.63 Mn |
| Jan 31, 2025 | 49.51 Mn |
| Oct 31, 2024 | 56.48 Mn |
| Jul 31, 2024 | 54.02 Mn |
| Apr 30, 2024 | 45.24 Mn |
| Jan 31, 2024 | 35.30 Mn |
| Oct 31, 2023 | 35.52 Mn |
| Jul 31, 2023 | 31.25 Mn |
| Apr 30, 2023 | -39.74 Mn |
| Jan 31, 2023 | -53.17 Mn |
| Oct 31, 2022 | 25.41 Mn |
| Jul 31, 2022 | 18.89 Mn |
| Apr 30, 2022 | 30.27 Mn |
| Jan 31, 2022 | 22.38 Mn |
| Oct 31, 2021 | 27.66 Mn |
Veeva Systems Tax Provisions 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=tax-provisions&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();