Veeva Systems (VEEV) Return on Sales [ROS] (2012 - 2026)
Veeva Systems (VEEV) posted Return on Sales [ROS] of 29.64% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.81 percentage points from 24.83% a year earlier but down 1.30 percentage points from the prior quarter.
Veeva Systems (VEEV) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Return on Sales [ROS] at Veeva Systems was 29.93%, up 2.99 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it was 28.68%, up 3.50 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +2.89 percentage points (FY2021 to FY2026).
- In prior fiscal years, Veeva Systems' Return on Sales [ROS] was 25.17% in FY2025 (+7.01 pp), 18.16% in FY2024 (-3.14 pp), 21.30% in FY2023 (-6.01 pp) and 27.31% in FY2022 (+1.53 pp).
- Quarterly Return on Sales [ROS] has run from a low of 11.69% in fiscal Q1 2024 to a high of 30.93% in fiscal Q1 2027 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 11 quarters, with an average year-over-year change of +3.61 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2025, with a gain of 12.17 percentage points; the weakest was fiscal Q1 2024, with a drop of 13.59 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 30.93% (Q1 2027), 29.41% (Q4 2026) and 29.69% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 8.22% |
| 10 | Bentley Systems | 9.88 Bn | 9.34 Bn | 336.74 Mn | 21.57% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 29.64% |
| Apr 30, 2026 | 30.93% |
| Jan 31, 2026 | 29.41% |
| Oct 31, 2025 | 29.69% |
| Jul 31, 2025 | 24.83% |
| Apr 30, 2025 | 30.79% |
| Jan 31, 2025 | 26.14% |
| Oct 31, 2024 | 25.94% |
| Jul 31, 2024 | 24.62% |
| Apr 30, 2024 | 23.86% |
| Jan 31, 2024 | 21.45% |
| Oct 31, 2023 | 20.84% |
| Jul 31, 2023 | 17.63% |
| Apr 30, 2023 | 11.69% |
| Jan 31, 2023 | 19.33% |
| Oct 31, 2022 | 21.98% |
| Jul 31, 2022 | 18.92% |
| Apr 30, 2022 | 25.28% |
| Jan 31, 2022 | 24.66% |
| Oct 31, 2021 | 27.87% |
Veeva Systems Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();