Veeva Systems (VEEV) Operating Expenses (2012 - 2026)
Veeva Systems' Operating Expenses was $420.93 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.8% from $397.92 million a year earlier and up 8.2% from the prior quarter.
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Analysis
Veeva Systems (VEEV) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Veeva Systems' Operating Expenses was $1.56 billion through Jul 31, 2026, up 7.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $1.5 billion, up 10.4% from FY2025.
- Operating Expenses has now increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 17.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $1.36 billion in FY2025 (+7.8%), $1.26 billion in FY2024 (+15.7%), $1.09 billion in FY2023 (+29.1%) and $841.6 million in FY2022 (+24.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Operating Expenses in data going back to fiscal Q1 2013.
- Compared with a year earlier, Operating Expenses has increased for 54 straight quarters, with growth averaging 9.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 5.8% (fiscal Q2 2027) to 34.8% (fiscal Q2 2023).
- Per Business Quant data, VEEV's Operating Expenses in the three fiscal quarters before Q2 2027 was $388.91 million (Q1 2027), $376.6 million (Q4 2026) and $370.92 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 248.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 420.93 Mn |
| Apr 30, 2026 | 388.91 Mn |
| Jan 31, 2026 | 376.60 Mn |
| Oct 31, 2025 | 370.92 Mn |
| Jul 31, 2025 | 397.92 Mn |
| Apr 30, 2025 | 351.49 Mn |
| Jan 31, 2025 | 351.47 Mn |
| Oct 31, 2024 | 343.47 Mn |
| Jul 31, 2024 | 339.32 Mn |
| Apr 30, 2024 | 321.29 Mn |
| Jan 31, 2024 | 321.43 Mn |
| Oct 31, 2023 | 320.33 Mn |
| Jul 31, 2023 | 317.16 Mn |
| Apr 30, 2023 | 298.13 Mn |
| Jan 31, 2023 | 290.15 Mn |
| Oct 31, 2022 | 277.04 Mn |
| Jul 31, 2022 | 281.46 Mn |
| Apr 30, 2022 | 237.92 Mn |
| Jan 31, 2022 | 229.90 Mn |
| Oct 31, 2021 | 213.84 Mn |
API Access
Veeva Systems Operating Expenses 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=operating-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();