Vertex (VERX) Depreciation & Amortization (CF) (2019 - 2026)
Vertex (VERX) reported Depreciation & Amortization (CF) of $29.12 million for Q2 2026, up 24.3% from $23.43 million a year earlier and up 7.7% from the prior quarter.
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Analysis
Vertex (VERX) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Vertex's Depreciation & Amortization (CF) came in at $107.41 million, up 23.3% year-over-year; for FY2025, it came in at $96.93 million, up 17.2% from FY2024.
- Depreciation & Amortization (CF) has increased for seven consecutive years, with a five-year compound annual growth rate of 24.6% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $82.73 million in FY2024 (+15.1%), $71.89 million in FY2023 (+17.6%), $61.15 million in FY2022 (+36.6%) and $44.78 million in FY2021 (+39.0%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation & Amortization (CF) in data going back to Q2 2019.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last 12 quarters, with growth averaging 16.8% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q2 2022 (growth of 98.5%); the low point was Q2 2023 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.05 million (Q1 2026), $26.13 million (Q4 2025) and $25.1 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn | 8.22 Mn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn | 367.31 Mn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn | 966.00 Mn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn | 407.00 Mn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn | 147.20 Mn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn | 12.36 Mn |
| 10 | Vertex | 1.90 Bn | 760.17 Mn | 131.30 Mn | 29.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.12 Mn |
| Mar 31, 2026 | 27.05 Mn |
| Dec 31, 2025 | 26.13 Mn |
| Sep 30, 2025 | 25.10 Mn |
| Jun 30, 2025 | 23.43 Mn |
| Mar 31, 2025 | 22.27 Mn |
| Dec 31, 2024 | 21.29 Mn |
| Sep 30, 2024 | 20.12 Mn |
| Jun 30, 2024 | 20.38 Mn |
| Mar 31, 2024 | 20.95 Mn |
| Dec 31, 2023 | 19.29 Mn |
| Sep 30, 2023 | 18.41 Mn |
| Jun 30, 2023 | 17.25 Mn |
| Mar 31, 2023 | 16.94 Mn |
| Dec 31, 2022 | 15.83 Mn |
| Sep 30, 2022 | 14.79 Mn |
| Jun 30, 2022 | 17.63 Mn |
| Mar 31, 2022 | 12.91 Mn |
| Dec 31, 2021 | 12.88 Mn |
| Sep 30, 2021 | 14.21 Mn |
API Access
Vertex Depreciation & Amortization (CF) 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-cf&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();