Vertex (VERX) Depreciation & Amortization - Total (2019 - 2026)
Vertex's Depreciation & Amortization - Total came in at $15.9 million for Q2 2026, up 41.9% from $11.21 million a year earlier and up 11.9% from the prior quarter.
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Analysis
Vertex (VERX) Depreciation & Amortization - Total (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex reported Depreciation & Amortization - Total of $44.06 million, up 53.9% year-over-year; for FY2025, it was $47.25 million, up 33.8% from FY2024.
- Depreciation & Amortization - Total has increased in each of the last four years, with a five-year compound annual growth rate of 19.9% (FY2020 to FY2025).
- Going back by year, Depreciation & Amortization - Total was $35.31 million in FY2024 (+2.1%), $34.59 million in FY2023 (+25.0%), $27.68 million in FY2022 (+45.1%) and $19.08 million in FY2021 (-0.1%).
- The five-year range for quarterly Depreciation & Amortization - Total is -$5.74 million (Q4 2024) to $18.88 million (Q3 2025).
- Year-over-year, Depreciation & Amortization - Total increased in four of the last six quarters, with growth averaging 14.9%.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q3 2021 (growth of 109.0%), and the weakest in Q1 2025 (a decline of 30.2%).
- Business Quant data shows VERX's Depreciation & Amortization - Total at $14.2 million (Q1 2026), -$4.92 million (Q4 2025) and $18.88 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.11 Bn | 372.93 Bn | 1.93 Bn | - |
| 2 | Oracle | 355.62 Bn | 227.75 Bn | - | - |
| 3 | Sap Se | 276.79 Bn | 204.18 Bn | 8.64 Bn | - |
| 4 | Salesforce | 175.88 Bn | 131.75 Bn | 8.70 Bn | - |
| 5 | Automatic Data Processing | 121.54 Bn | 108.34 Bn | 2.53 Bn | - |
| 6 | ServiceNow | 106.68 Bn | 85.94 Bn | 2.90 Bn | - |
| 7 | Intuit | 93.48 Bn | 72.83 Bn | 3.44 Bn | - |
| 8 | Relx | 73.38 Bn | 72.47 Bn | - | - |
| 9 | Strategy | 50.44 Bn | 37.58 Bn | 89.63 Mn | - |
| 10 | Vertex | 2.80 Bn | 1.77 Bn | 140.21 Mn | 17.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.72 Mn |
| Jun 30, 2026 | 15.90 Mn |
| Mar 31, 2026 | 14.20 Mn |
| Dec 31, 2025 | -4.92 Mn |
| Sep 30, 2025 | 18.88 Mn |
| Jun 30, 2025 | 11.21 Mn |
| Mar 31, 2025 | 10.06 Mn |
| Dec 31, 2024 | -5.74 Mn |
| Sep 30, 2024 | 13.10 Mn |
| Jun 30, 2024 | 13.54 Mn |
| Mar 31, 2024 | 14.42 Mn |
| Dec 31, 2023 | -1.59 Mn |
| Sep 30, 2023 | 11.92 Mn |
| Jun 30, 2023 | 11.90 Mn |
| Mar 31, 2023 | 11.61 Mn |
| Dec 31, 2022 | -633,000.00 |
| Sep 30, 2022 | 9.64 Mn |
| Jun 30, 2022 | 9.62 Mn |
| Mar 31, 2022 | 9.06 Mn |
| Dec 31, 2021 | -1.79 Mn |
API Access
Vertex Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();