Vertex (VERX) Depreciation and Depletion (2019 - 2026)
Vertex's Depreciation and Depletion came in at $1.2 million for Q2 2026, up 12.7% from $1.07 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Vertex (VERX) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Vertex reported Depreciation and Depletion of -$20.89 million; for FY2025, it was $10.04 million, up 128.5% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -12.1% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $4.39 million in FY2024 (-24.9%), $5.85 million in FY2023 (-9.3%), $6.45 million in FY2022 (-66.2%) and $19.08 million in FY2021 (-0.1%).
- The five-year range for quarterly Depreciation and Depletion is -$42.14 million (Q4 2025) to $18.88 million (Q3 2025).
- Year-over-year, Depreciation and Depletion increased in four of the last six quarters, with an average decline of 17.9%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q3 2021 (growth of 109.0%), and the weakest in Q1 2025 (a decline of 92.7%).
- Business Quant data shows VERX's Depreciation and Depletion at $1.17 million (Q1 2026), -$42.14 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. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | - |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 3.20 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 155.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | - |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 54.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | - |
| 10 | Vertex | 1.94 Bn | 797.28 Mn | 131.30 Mn | 1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Mn |
| Mar 31, 2026 | 1.17 Mn |
| Dec 31, 2025 | -42.14 Mn |
| Sep 30, 2025 | 18.88 Mn |
| Jun 30, 2025 | 1.07 Mn |
| Mar 31, 2025 | 1.06 Mn |
| Dec 31, 2024 | -36.66 Mn |
| Sep 30, 2024 | 13.10 Mn |
| Jun 30, 2024 | 13.54 Mn |
| Mar 31, 2024 | 14.42 Mn |
| Dec 31, 2023 | -30.34 Mn |
| Sep 30, 2023 | 11.92 Mn |
| Jun 30, 2023 | 11.90 Mn |
| Mar 31, 2023 | 11.61 Mn |
| Dec 31, 2022 | -21.87 Mn |
| Sep 30, 2022 | 9.64 Mn |
| Jun 30, 2022 | 9.62 Mn |
| Mar 31, 2022 | 9.06 Mn |
| Dec 31, 2021 | -1.79 Mn |
| Sep 30, 2021 | 10.28 Mn |
API Access
Vertex Depreciation and Depletion 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-depletion&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();