Veeva Systems (VEEV) EBITDA (2012 - 2026)
Veeva Systems (VEEV) reported EBITDA of $290.79 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 38.3% from $210.2 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Veeva Systems (VEEV) EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Veeva Systems' EBITDA came in at $1.09 billion, up 27.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $970.76 million, up 30.1% from FY2025.
- EBITDA has a five-year compound annual growth rate of 17.8% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $746.35 million in FY2025 (+55.4%), $480.14 million in FY2024 (-5.9%), $510.31 million in FY2023 (-8.7%) and $558.99 million in FY2022 (+30.6%).
- The fiscal Q2 2027 figure ranks as the highest quarterly EBITDA in data going back to fiscal Q3 2013.
- Year over year, EBITDA has now increased in each of the last 13 quarters, with growth averaging 31.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2025 (growth of 125.9%); the low point was fiscal Q1 2024 (a decline of 47.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $289.6 million (Q1 2027), $258.44 million (Q4 2026) and $254.53 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 104.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 290.79 Mn |
| Apr 30, 2026 | 289.60 Mn |
| Jan 31, 2026 | 258.44 Mn |
| Oct 31, 2025 | 254.53 Mn |
| Jul 31, 2025 | 210.20 Mn |
| Apr 30, 2025 | 247.60 Mn |
| Jan 31, 2025 | 202.38 Mn |
| Oct 31, 2024 | 195.14 Mn |
| Jul 31, 2024 | 181.36 Mn |
| Apr 30, 2024 | 167.47 Mn |
| Jan 31, 2024 | 149.23 Mn |
| Oct 31, 2023 | 140.40 Mn |
| Jul 31, 2023 | 116.39 Mn |
| Apr 30, 2023 | 74.13 Mn |
| Jan 31, 2023 | 121.59 Mn |
| Oct 31, 2022 | 133.94 Mn |
| Jul 31, 2022 | 114.06 Mn |
| Apr 30, 2022 | 140.72 Mn |
| Jan 31, 2022 | 133.38 Mn |
| Oct 31, 2021 | 146.20 Mn |
API Access
Veeva Systems EBITDA 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=ebitda&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();