Vertex (VERX) Selling, General & Administrative (2019 - 2026)
Vertex (VERX) reported Selling, General & Administrative of $51.14 million for Q2 2026, up 17.9% from $43.39 million a year earlier but down 5.9% from the prior quarter.
Vertex (VERX) Selling, General & Administrative (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertex's Selling, General & Administrative came in at $195.75 million, up 15.3% year-over-year; for FY2025, it came in at $178.69 million, up 16.9% from FY2024.
- Selling, General & Administrative has increased for four consecutive years, with a five-year compound annual growth rate of 3.7% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $152.84 million in FY2024 (+4.7%), $145.94 million in FY2023 (+20.0%), $121.65 million in FY2022 (+13.7%) and $107.01 million in FY2021 (-28.2%).
- Five-year quarterly Selling, General & Administrative spans a low of $26.06 million in Q4 2021 and a high of $54.34 million in Q1 2026.
- Year over year, Selling, General & Administrative has now increased in each of the last eight quarters, with growth averaging 16.7% over the last eight quarters.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2023 (growth of 30.9%); the low point was Q3 2021 (a decline of 35.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $54.34 million (Q1 2026), $45.66 million (Q4 2025) and $44.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 376.00 Mn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | - |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Vertex | 1.98 Bn | 844.07 Mn | 131.30 Mn | 51.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.14 Mn |
| Mar 31, 2026 | 54.34 Mn |
| Dec 31, 2025 | 45.66 Mn |
| Sep 30, 2025 | 44.61 Mn |
| Jun 30, 2025 | 43.39 Mn |
| Mar 31, 2025 | 45.03 Mn |
| Dec 31, 2024 | 39.92 Mn |
| Sep 30, 2024 | 41.50 Mn |
| Jun 30, 2024 | 35.87 Mn |
| Mar 31, 2024 | 35.54 Mn |
| Dec 31, 2023 | 36.87 Mn |
| Sep 30, 2023 | 35.39 Mn |
| Jun 30, 2023 | 39.38 Mn |
| Mar 31, 2023 | 34.31 Mn |
| Dec 31, 2022 | 31.13 Mn |
| Sep 30, 2022 | 31.68 Mn |
| Jun 30, 2022 | 30.08 Mn |
| Mar 31, 2022 | 28.76 Mn |
| Dec 31, 2021 | 26.06 Mn |
| Sep 30, 2021 | 31.24 Mn |
Vertex Selling, General & Administrative 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=selling-general-and-administrative&ticker=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();