Veeva Systems (VEEV) Cost of Revenue (2012 - 2026)
Veeva Systems (VEEV) posted Cost of Revenue of $232.0 million for Q3 2026, up 5.02% on a QoQ basis from $220.9 million in Q2 2026, and up 18.83% year-over-year from $195.3 million in Q3 2025.
Veeva Systems (VEEV) Cost of Revenue (2012 - 2026) Analysis & Trends
Veeva Systems has reported Cost of Revenue for 15 years, with the latest figure at $232.0 million in Q3 2026.
- On a quarterly basis, Cost of Revenue rose 18.83% year-over-year to $232.0 million in Q3 2026; TTM through Jul 2026 was $865.9 million, a 19.52% increase from a year earlier, with the FY2026 full-year figure at $782.0 million, up 11.78% from the prior year.
- Cost of Revenue was $232.0 million for Q3 2026 at Veeva Systems, up from $220.9 million in the prior quarter.
- The five-year high for Cost of Revenue was $232.0 million in Q3 2026, with the low at $135.9 million in Q1 2022.
- Average Cost of Revenue over 5 years is $176.7 million, with a median of $173.8 million recorded in 2025.
- The sharpest annual moves came in 2025 and 2026: Cost of Revenue declined 0.03% in 2025, then grew 27.1% in 2026.
- Over 5 years, Cost of Revenue stood at $153.9 million in 2022, then climbed by 8.95% to $167.7 million in 2023, then increased by 4.0% to $174.4 million in 2024, then gained by 14.38% to $199.5 million in 2025, then advanced by 16.32% to $232.0 million in 2026.
- The last three Cost of Revenue figures came in at $232.0 million (Q3 2026), $220.9 million (Q2 2026), and $213.5 million (Q1 2026), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 232.01 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 115.86 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 1.39 Bn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 297.10 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 129.46 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 220.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 73.99 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 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();