Vertex (VERX) Revenue (2019 - 2026)
Vertex (VERX) posted Revenue of $203.97 million for Q2 2026, up 10.5% from $184.56 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Vertex (VERX) Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Vertex was $787.44 million, up 10.8% year-over-year; for FY2025, it came in at $748.44 million, up 12.2% from FY2024.
- Annual Revenue has increased for seven consecutive years, with a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- In prior years, Vertex's Revenue was $666.78 million in FY2024 (+16.5%), $572.39 million in FY2023 (+16.4%), $491.62 million in FY2022 (+15.5%) and $425.55 million in FY2021 (+13.6%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2019.
- On a year-over-year basis, Revenue has increased in each of the last 25 quarters, with growth averaging 13.0% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 9.1% (Q4 2025) and 18.1% (Q4 2023) over the last five years.
- According to Business Quant data, Revenue for the three prior quarters was $196.65 million (Q1 2026), $194.71 million (Q4 2025) and $192.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.94 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 19.35 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 11.48 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 11.35 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 3.99 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 5.47 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.35 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 122.37 Mn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 203.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203.97 Mn |
| Mar 31, 2026 | 196.65 Mn |
| Dec 31, 2025 | 194.71 Mn |
| Sep 30, 2025 | 192.11 Mn |
| Jun 30, 2025 | 184.56 Mn |
| Mar 31, 2025 | 177.06 Mn |
| Dec 31, 2024 | 178.46 Mn |
| Sep 30, 2024 | 170.44 Mn |
| Jun 30, 2024 | 161.10 Mn |
| Mar 31, 2024 | 156.78 Mn |
| Dec 31, 2023 | 154.91 Mn |
| Sep 30, 2023 | 145.03 Mn |
| Jun 30, 2023 | 139.70 Mn |
| Mar 31, 2023 | 132.75 Mn |
| Dec 31, 2022 | 131.13 Mn |
| Sep 30, 2022 | 126.24 Mn |
| Jun 30, 2022 | 119.28 Mn |
| Mar 31, 2022 | 114.98 Mn |
| Dec 31, 2021 | 111.66 Mn |
| Sep 30, 2021 | 110.72 Mn |
API Access
Vertex Revenue 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=revenue&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();