Vertex (VERX) Total Liabilities (2019 - 2026)
Vertex's Total Liabilities came in at $969.04 million for Q2 2026, up 2.0% from $950.15 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Vertex (VERX) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Vertex's Total Liabilities was $1.01 billion, up 2.5% from FY2024.
- Total Liabilities has increased in each of the last five years, with a five-year compound annual growth rate of 25.2% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $987.44 million in FY2024 (+94.8%), $506.95 million in FY2023 (+3.6%), $489.47 million in FY2022 (+11.2%) and $440.12 million in FY2021 (+33.6%).
- The five-year range for quarterly Total Liabilities is $421.63 million (Q3 2021) to $1.01 billion (Q4 2025).
- Year-over-year, Total Liabilities has increased for 20 consecutive quarters, with growth averaging 37.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Liabilities ranged from 0.7% (Q1 2024) to 94.8% (Q4 2024).
- Business Quant data shows VERX's Total Liabilities at $967.86 million (Q1 2026), $1.01 billion (Q4 2025) and $957.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.79 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 236.06 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 35.29 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 71.24 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 19.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 57.16 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 17.79 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 18.48 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 21.68 Bn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 969.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 969.04 Mn |
| Mar 31, 2026 | 967.86 Mn |
| Dec 31, 2025 | 1.01 Bn |
| Sep 30, 2025 | 957.39 Mn |
| Jun 30, 2025 | 950.15 Mn |
| Mar 31, 2025 | 953.65 Mn |
| Dec 31, 2024 | 987.44 Mn |
| Sep 30, 2024 | 931.81 Mn |
| Jun 30, 2024 | 790.70 Mn |
| Mar 31, 2024 | 505.67 Mn |
| Dec 31, 2023 | 506.95 Mn |
| Sep 30, 2023 | 499.90 Mn |
| Jun 30, 2023 | 499.36 Mn |
| Mar 31, 2023 | 502.04 Mn |
| Dec 31, 2022 | 489.47 Mn |
| Sep 30, 2022 | 463.27 Mn |
| Jun 30, 2022 | 469.12 Mn |
| Mar 31, 2022 | 464.68 Mn |
| Dec 31, 2021 | 440.12 Mn |
| Sep 30, 2021 | 421.63 Mn |
API Access
Vertex Total 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-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();