Vertex (VERX) Non-Current Assets (2019 - 2026)
Vertex (VERX) reported Non-Current Assets of $718.2 million for Q2 2026, up 3.3% from $695.46 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Vertex (VERX) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Vertex posted Non-Current Assets of $710.13 million, up 12.6% from FY2024.
- Non-Current Assets has increased for six consecutive years, with a five-year compound annual growth rate of 35.4% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $630.46 million in FY2024 (+27.8%), $493.31 million in FY2023 (+3.6%), $476.05 million in FY2022 (+0.3%) and $474.54 million in FY2021 (+204.0%).
- Five-year quarterly Non-Current Assets spans a low of $457.95 million in Q3 2022 and a high of $725.86 million in Q1 2026.
- Year over year, Non-Current Assets has now increased in each of the last three quarters, with growth averaging 21.4% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q3 2021 (growth of 207.7%); the low point was Q3 2022 (a decline of 5.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $725.86 million (Q1 2026), $710.13 million (Q4 2025) and $703.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 579.05 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 247.63 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 61.56 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 87.54 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 23.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 10.63 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 21.48 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 49.89 Bn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 718.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 718.20 Mn |
| Mar 31, 2026 | 725.86 Mn |
| Dec 31, 2025 | 710.13 Mn |
| Sep 30, 2025 | 703.03 Mn |
| Jun 30, 2025 | 695.46 Mn |
| Mar 31, 2025 | 649.18 Mn |
| Dec 31, 2024 | 630.46 Mn |
| Sep 30, 2024 | 714.22 Mn |
| Jun 30, 2024 | 509.02 Mn |
| Mar 31, 2024 | 488.97 Mn |
| Dec 31, 2023 | 493.31 Mn |
| Sep 30, 2023 | 481.97 Mn |
| Jun 30, 2023 | 490.73 Mn |
| Mar 31, 2023 | 490.50 Mn |
| Dec 31, 2022 | 476.05 Mn |
| Sep 30, 2022 | 457.95 Mn |
| Jun 30, 2022 | 465.40 Mn |
| Mar 31, 2022 | 476.95 Mn |
| Dec 31, 2021 | 474.54 Mn |
| Sep 30, 2021 | 482.96 Mn |
API Access
Vertex Non-Current Assets 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=non-current-assets&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();