Vertex (VERX) EBITDA (2019 - 2026)
Vertex's EBITDA came in at $26.04 million for Q2 2026, up 26.5% from $20.58 million a year earlier and up 48.9% from the prior quarter.
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Analysis
Vertex (VERX) EBITDA (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex reported EBITDA of $98.18 million, up 17.5% year-over-year; for FY2025, it came in at $103 million, up 21.9% from FY2024.
- EBITDA has increased in each of the last four years.
- Going back by year, EBITDA was $84.51 million in FY2024 (+48.4%), $56.95 million in FY2023 (+7.3%), $53.07 million in FY2022 (+26.8%) and $41.84 million in FY2021.
- The five-year range for quarterly EBITDA is $8.01 million (Q1 2023) to $30.29 million (Q3 2025).
- Year-over-year, EBITDA increased in five of the last eight quarters, with growth averaging 22.5%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2025 (growth of 165.0%), and the weakest in Q4 2024 (a decline of 48.4%).
- Business Quant data shows VERX's EBITDA at $17.48 million (Q1 2026), $24.37 million (Q4 2025) and $30.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 10.13 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | -8.32 Bn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 26.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26.04 Mn |
| Mar 31, 2026 | 17.48 Mn |
| Dec 31, 2025 | 24.37 Mn |
| Sep 30, 2025 | 30.29 Mn |
| Jun 30, 2025 | 20.58 Mn |
| Mar 31, 2025 | 27.76 Mn |
| Dec 31, 2024 | 9.19 Mn |
| Sep 30, 2024 | 26.02 Mn |
| Jun 30, 2024 | 28.92 Mn |
| Mar 31, 2024 | 20.38 Mn |
| Dec 31, 2023 | 17.82 Mn |
| Sep 30, 2023 | 17.31 Mn |
| Jun 30, 2023 | 13.18 Mn |
| Mar 31, 2023 | 8.01 Mn |
| Dec 31, 2022 | 12.44 Mn |
| Sep 30, 2022 | 13.92 Mn |
| Jun 30, 2022 | 13.33 Mn |
| Mar 31, 2022 | 13.37 Mn |
| Dec 31, 2021 | 12.87 Mn |
| Sep 30, 2021 | 10.59 Mn |
API Access
Vertex 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=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "VERX", "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=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();