Veeva Systems (VEEV) Tax Provisions (2012 - 2026)
Veeva Systems' Tax Provisions came in at $76.1 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.0% from $65.06 million a year earlier but down 12.1% from the prior quarter.
Powered by 
Analysis
Veeva Systems (VEEV) Tax Provisions (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Veeva Systems reported Tax Provisions of $312.61 million, up 29.4% year-over-year; for FY2026 (ended Jan 31, 2026), it was $285.6 million, up 39.2% from FY2025.
- Tax Provisions has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 82.8% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $205.24 million in FY2025 (+229.3%), $62.32 million in FY2024 (+191.3%), $21.39 million in FY2023 (-74.8%) and $84.92 million in FY2022 (+506.8%).
- The five-year range for quarterly Tax Provisions is -$53.17 million (fiscal Q4 2023) to $86.59 million (fiscal Q1 2027).
- Year-over-year, Tax Provisions has increased for nine consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2022 (growth of 842.8%), and the weakest in fiscal Q3 2023 (a decline of 8.2%).
- Business Quant data shows VEEV's Tax Provisions at $86.59 million (Q1 2027), $73.33 million (Q4 2026) and $76.58 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn | 33.66 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn | 8.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn | 26.90 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn | 16.86 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 19.00 Mn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn | 16.61 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn | -1.80 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();