Vertex (VERX) Total Non-Current Liabilities (2019 - 2026)
Vertex's Total Non-Current Liabilities came in at $928.14 million for Q2 2026, up 6.7% from $869.95 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Vertex (VERX) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Vertex's Total Non-Current Liabilities was $932.32 million, up 3.6% from FY2024.
- Total Non-Current Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $900.04 million in FY2024 (+78.5%), $504.35 million in FY2023 (+4.8%), $481.06 million in FY2022 (+12.1%) and $429.29 million in FY2021 (+33.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $410.58 million (Q3 2021) to $932.32 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities has increased for 20 consecutive quarters, with growth averaging 31.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Non-Current Liabilities ran from 1.3% in Q1 2024 to 78.5% in Q4 2024.
- Business Quant data shows VERX's Total Non-Current Liabilities at $926.56 million (Q1 2026), $932.32 million (Q4 2025) and $878.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 408.73 Bn | 373.56 Bn | 1.93 Bn | 2.06 Bn |
| 2 | Oracle | 352.87 Bn | 225.00 Bn | - | 188.55 Bn |
| 3 | Sap Se | 276.76 Bn | 204.16 Bn | 8.64 Bn | 12.21 Bn |
| 4 | Salesforce | 175.91 Bn | 131.79 Bn | 8.70 Bn | 67.55 Bn |
| 5 | Automatic Data Processing | 121.25 Bn | 108.04 Bn | 2.53 Bn | 57.23 Bn |
| 6 | ServiceNow | 107.40 Bn | 86.66 Bn | 2.90 Bn | 18.14 Bn |
| 7 | Intuit | 93.12 Bn | 72.47 Bn | 3.44 Bn | 17.43 Bn |
| 8 | Relx | 73.28 Bn | 72.38 Bn | - | 1.33 Mn |
| 9 | Strategy | 51.23 Bn | 38.37 Bn | 89.63 Mn | 21.71 Bn |
| 10 | Vertex | 2.78 Bn | 1.75 Bn | 140.21 Mn | 944.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 944.67 Mn |
| Jun 30, 2026 | 928.14 Mn |
| Mar 31, 2026 | 926.56 Mn |
| Dec 31, 2025 | 932.32 Mn |
| Sep 30, 2025 | 878.39 Mn |
| Jun 30, 2025 | 869.95 Mn |
| Mar 31, 2025 | 875.45 Mn |
| Dec 31, 2024 | 900.04 Mn |
| Sep 30, 2024 | 826.81 Mn |
| Jun 30, 2024 | 790.50 Mn |
| Mar 31, 2024 | 501.57 Mn |
| Dec 31, 2023 | 504.35 Mn |
| Sep 30, 2023 | 497.70 Mn |
| Jun 30, 2023 | 497.86 Mn |
| Mar 31, 2023 | 495.23 Mn |
| Dec 31, 2022 | 481.06 Mn |
| Sep 30, 2022 | 455.26 Mn |
| Jun 30, 2022 | 461.50 Mn |
| Mar 31, 2022 | 450.47 Mn |
| Dec 31, 2021 | 427.33 Mn |
API Access
Vertex Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();