Veeva Systems (VEEV) Other Operating Expenses (2012 - 2026)
Veeva Systems (VEEV) recorded Other Operating Expenses of $126.7 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.8% from $109.44 million a year earlier and up 14.0% from the prior quarter.
Veeva Systems (VEEV) Other Operating Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Veeva Systems' Other Operating Expenses came in at $458.55 million as of Jul 31, 2026, up 13.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $428.8 million, up 8.1% from FY2025.
- Annual Other Operating Expenses has increased for 14 straight fiscal years, with a five-year compound annual growth rate of 12.8% (FY2021 to FY2026).
- Across earlier fiscal years, Other Operating Expenses came in at $396.73 million in FY2025 (+4.0%), $381.47 million in FY2024 (+9.4%), $348.69 million in FY2023 (+21.0%) and $288.06 million in FY2022 (+22.6%).
- The fiscal Q2 2027 figure is the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2013.
- On a year-over-year basis, Other Operating Expenses has increased for six consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Other Operating Expenses ran from 0.0% in fiscal Q4 2025 to 29.7% in fiscal Q3 2023.
- Per Business Quant, the preceding three fiscal quarters came in at $111.12 million (Q1 2027), $110.18 million (Q4 2026) and $110.55 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 126.70 Mn |
| Apr 30, 2026 | 111.12 Mn |
| Jan 31, 2026 | 110.18 Mn |
| Oct 31, 2025 | 110.55 Mn |
| Jul 31, 2025 | 109.44 Mn |
| Apr 30, 2025 | 98.63 Mn |
| Jan 31, 2025 | 99.20 Mn |
| Oct 31, 2024 | 98.70 Mn |
| Jul 31, 2024 | 101.53 Mn |
| Apr 30, 2024 | 97.30 Mn |
| Jan 31, 2024 | 99.20 Mn |
| Oct 31, 2023 | 96.77 Mn |
| Jul 31, 2023 | 97.00 Mn |
| Apr 30, 2023 | 88.50 Mn |
| Jan 31, 2023 | 89.05 Mn |
| Oct 31, 2022 | 93.91 Mn |
| Jul 31, 2022 | 89.62 Mn |
| Apr 30, 2022 | 76.12 Mn |
| Jan 31, 2022 | 79.24 Mn |
| Oct 31, 2021 | 72.42 Mn |
Veeva Systems Other 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=other-operating-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();