Vertex (VERX) Accumulated Expenses (2019 - 2026)
Vertex (VERX) posted Accumulated Expenses of $34.55 million for Q2 2026, down 18.0% from $42.16 million a year earlier and down 5.6% from the prior quarter.
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Analysis
Vertex (VERX) Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, Vertex's Accumulated Expenses came in at $43.64 million, up 24.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 17.9% (FY2020 to FY2025).
- In prior years, Vertex's Accumulated Expenses was $35.17 million in FY2024 (-21.4%), $44.74 million in FY2023 (+17.0%), $38.23 million in FY2022 (+66.5%) and $22.97 million in FY2021 (+19.8%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q3 2022.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with an average decline of 4.4%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2023, with growth of 134.0%; the weakest was Q1 2024, with a decline of 34.2%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $36.61 million (Q1 2026), $43.64 million (Q4 2025) and $39.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 405.94 Bn | 370.77 Bn | 1.93 Bn |
| 2 | Oracle | 352.24 Bn | 224.37 Bn | - |
| 3 | Sap Se | 276.54 Bn | 203.94 Bn | 8.64 Bn |
| 4 | Salesforce | 176.18 Bn | 132.05 Bn | 8.70 Bn |
| 5 | Automatic Data Processing | 121.53 Bn | 108.33 Bn | 2.53 Bn |
| 6 | ServiceNow | 107.01 Bn | 86.28 Bn | 2.90 Bn |
| 7 | Intuit | 93.32 Bn | 72.67 Bn | 3.44 Bn |
| 8 | Relx | 73.41 Bn | 72.51 Bn | - |
| 9 | Strategy | 50.50 Bn | 37.63 Bn | 89.63 Mn |
| 10 | Vertex | 2.80 Bn | 1.77 Bn | 140.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.55 Mn |
| Jun 30, 2026 | 34.55 Mn |
| Mar 31, 2026 | 36.61 Mn |
| Dec 31, 2025 | 43.64 Mn |
| Sep 30, 2025 | 39.79 Mn |
| Jun 30, 2025 | 42.16 Mn |
| Mar 31, 2025 | 38.11 Mn |
| Dec 31, 2024 | 35.17 Mn |
| Sep 30, 2024 | 44.64 Mn |
| Jun 30, 2024 | 41.77 Mn |
| Mar 31, 2024 | 36.75 Mn |
| Dec 31, 2023 | 44.74 Mn |
| Sep 30, 2023 | 49.61 Mn |
| Jun 30, 2023 | 55.99 Mn |
| Mar 31, 2023 | 55.90 Mn |
| Dec 31, 2022 | 38.23 Mn |
| Sep 30, 2022 | 28.91 Mn |
| Jun 30, 2022 | 23.93 Mn |
| Mar 31, 2022 | 27.29 Mn |
| Dec 31, 2021 | 22.97 Mn |
API Access
Vertex Accumulated Expenses 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=accumulated-expenses&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();