Veeva Systems (VEEV) Cost of Revenue (2012 - 2026)
Veeva Systems' Cost of Revenue came in at $232.01 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 18.8% from $195.25 million a year earlier and up 5.0% from the prior quarter.
Veeva Systems (VEEV) Cost of Revenue (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Veeva Systems reported Cost of Revenue of $865.88 million, up 19.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $782.02 million, up 11.8% from FY2025.
- Cost of Revenue has increased in each of the last 14 fiscal years, with a five-year compound annual growth rate of 13.8% (FY2021 to FY2026).
- Going back by fiscal year, Cost of Revenue was $699.64 million in FY2025 (+3.3%), $677.29 million in FY2024 (+11.1%), $609.41 million in FY2023 (+21.0%) and $503.68 million in FY2022 (+23.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Cost of Revenue in data going back to fiscal Q1 2013.
- Year-over-year, Cost of Revenue has increased for five consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Cost of Revenue ranged from 0.0% (fiscal Q1 2026) to 27.1% (fiscal Q1 2027).
- Business Quant data shows VEEV's Cost of Revenue at $220.92 million (Q1 2027), $213.48 million (Q4 2026) and $199.47 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.56 Bn | 22.81 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 23.91 Bn | 20.69 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 18.70 Bn | 11.37 Bn | 516.00 Mn | 1.39 Bn |
| 6 | Trimble | 14.15 Bn | 13.22 Bn | 674.90 Mn | 297.10 Mn |
| 7 | Manhattan Associates | 13.16 Bn | 12.15 Bn | 168.33 Mn | 129.46 Mn |
| 8 | Costar | 12.92 Bn | 6.87 Bn | 728.00 Mn | 197.00 Mn |
| 9 | Bentley Systems | 11.18 Bn | 10.64 Bn | 336.74 Mn | 73.99 Mn |
| 10 | Procore Technologies | 8.73 Bn | 6.03 Bn | 299.80 Mn | 75.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 232.01 Mn |
| Apr 30, 2026 | 220.92 Mn |
| Jan 31, 2026 | 213.48 Mn |
| Oct 31, 2025 | 199.47 Mn |
| Jul 31, 2025 | 195.25 Mn |
| Apr 30, 2025 | 173.82 Mn |
| Jan 31, 2025 | 180.99 Mn |
| Oct 31, 2024 | 174.39 Mn |
| Jul 31, 2024 | 170.37 Mn |
| Apr 30, 2024 | 173.88 Mn |
| Jan 31, 2024 | 173.93 Mn |
| Oct 31, 2023 | 167.68 Mn |
| Jul 31, 2023 | 169.02 Mn |
| Apr 30, 2023 | 166.66 Mn |
| Jan 31, 2023 | 164.31 Mn |
| Oct 31, 2022 | 153.91 Mn |
| Jul 31, 2022 | 151.67 Mn |
| Apr 30, 2022 | 139.52 Mn |
| Jan 31, 2022 | 135.88 Mn |
| Oct 31, 2021 | 129.56 Mn |
Veeva Systems Cost of Revenue 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=cost-of-revenue&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();