Vertex (VERX) EPS (Diluted) (2019 - 2026)
Vertex's EPS (Diluted) came in at $0.06 for Q2 2026, compared with -$0.01 a year earlier.
Analysis
Vertex (VERX) EPS (Diluted) (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex reported EPS (Diluted) of $0.02; for FY2025, it was $0.04.
- Going back by year, EPS (Diluted) was -$0.34 in FY2024, -$0.09 in FY2023, -$0.08 in FY2022 and -$0.01 in FY2021.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q1 2025.
- Business Quant data shows VERX's EPS (Diluted) at -$0.02 (Q1 2026), -$0.04 (Q4 2025) and $0.02 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 405.94 Bn | 370.77 Bn | 1.93 Bn | 0.44 |
| 2 | Oracle | 352.24 Bn | 224.37 Bn | - | 1.56 |
| 3 | Sap Se | 276.54 Bn | 203.94 Bn | 8.64 Bn | 2.20 |
| 4 | Salesforce | 176.18 Bn | 132.05 Bn | 8.70 Bn | 4.29 |
| 5 | Automatic Data Processing | 121.53 Bn | 108.33 Bn | 2.53 Bn | 2.79 |
| 6 | ServiceNow | 107.01 Bn | 86.28 Bn | 2.90 Bn | 0.27 |
| 7 | Intuit | 93.32 Bn | 72.67 Bn | 3.44 Bn | 1.31 |
| 8 | Relx | 73.41 Bn | 72.51 Bn | - | - |
| 9 | Strategy | 50.50 Bn | 37.63 Bn | 89.63 Mn | 44.67 |
| 10 | Vertex | 2.80 Bn | 1.77 Bn | 140.21 Mn | -0.29 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -0.29 |
| Jun 30, 2026 | 0.06 |
| Mar 31, 2026 | -0.02 |
| Dec 31, 2025 | -0.04 |
| Sep 30, 2025 | 0.02 |
| Jun 30, 2025 | -0.01 |
| Mar 31, 2025 | 0.07 |
| Dec 31, 2024 | -0.44 |
| Sep 30, 2024 | 0.04 |
| Jun 30, 2024 | 0.03 |
| Mar 31, 2024 | 0.02 |
| Dec 31, 2023 | 0.10 |
| Sep 30, 2023 | -0.03 |
| Jun 30, 2023 | -0.05 |
| Mar 31, 2023 | -0.12 |
| Dec 31, 2022 | -0.04 |
| Sep 30, 2022 | -0.01 |
| Jun 30, 2022 | -0.05 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | -0.01 |
API Access
Vertex EPS (Diluted) 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=eps-diluted&ticker=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();