Vertex (VERX) Capital Expenditures (2019 - 2026)
Vertex (VERX) recorded Capital Expenditures of $23.17 million in Q2 2026, up 7.7% from $21.51 million a year earlier but down 6.0% from the prior quarter.
Powered by 
Analysis
Vertex (VERX) Capital Expenditures (2019 - 2026) Analysis & Trends
On a TTM basis, Vertex's Capital Expenditures came in at $101.16 million as of Jun 30, 2026, up 19.1% year-over-year; for FY2025, it came in at $96.24 million, up 34.1% from FY2024.
- Annual Capital Expenditures has increased for six straight years, with a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $71.76 million in FY2024 (+45.7%), $49.26 million in FY2023 (+8.2%), $45.53 million in FY2022 (+43.6%) and $31.71 million in FY2021 (+51.3%).
- Quarterly Capital Expenditures has ranged from $7.81 million in Q4 2021 to $42.01 million in Q3 2024 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in five of the last six quarters, with growth averaging 47.6%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 211.2% in Q3 2024, against a decline of 37.1% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $24.66 million (Q1 2026), $26.89 million (Q4 2025) and $26.44 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.73 Bn | 373.56 Bn | 1.93 Bn | 8.01 Mn |
| 2 | Oracle | 352.87 Bn | 225.00 Bn | - | 28.50 Bn |
| 3 | Sap Se | 276.76 Bn | 204.16 Bn | 8.64 Bn | -192.12 Mn |
| 4 | Salesforce | 175.91 Bn | 131.79 Bn | 8.70 Bn | 171.00 Mn |
| 5 | Automatic Data Processing | 121.25 Bn | 108.04 Bn | 2.53 Bn | 52.70 Mn |
| 6 | ServiceNow | 107.40 Bn | 86.66 Bn | 2.90 Bn | 91.00 Mn |
| 7 | Intuit | 93.12 Bn | 72.47 Bn | 3.44 Bn | 27.00 Mn |
| 8 | Relx | 73.28 Bn | 72.38 Bn | - | - |
| 9 | Strategy | 51.23 Bn | 38.37 Bn | 89.63 Mn | 462,000.00 |
| 10 | Vertex | 2.78 Bn | 1.75 Bn | 140.21 Mn | 22.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.88 Mn |
| Jun 30, 2026 | 23.17 Mn |
| Mar 31, 2026 | 46.63 Mn |
| Dec 31, 2025 | 26.89 Mn |
| Sep 30, 2025 | 26.44 Mn |
| Jun 30, 2025 | 21.51 Mn |
| Mar 31, 2025 | 21.39 Mn |
| Dec 31, 2024 | 18.25 Mn |
| Sep 30, 2024 | 83.45 Mn |
| Jun 30, 2024 | 21.38 Mn |
| Mar 31, 2024 | 14.45 Mn |
| Dec 31, 2023 | 13.90 Mn |
| Sep 30, 2023 | 13.50 Mn |
| Jun 30, 2023 | 11.81 Mn |
| Mar 31, 2023 | 10.05 Mn |
| Dec 31, 2022 | 11.99 Mn |
| Sep 30, 2022 | 11.71 Mn |
| Jun 30, 2022 | 10.93 Mn |
| Mar 31, 2022 | 10.91 Mn |
| Dec 31, 2021 | 7.81 Mn |
API Access
Vertex Capital Expenditures 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=capital-expenditures&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();