Vertex (VERX) Total Current Liabilities (2019 - 2026)
Vertex's Total Current Liabilities was $564.42 million in Q2 2026, up 11.5% from $506.32 million a year earlier but down 0.4% from the prior quarter.
Vertex (VERX) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Vertex came in at $574.66 million, up 6.9% from FY2024.
- Total Current Liabilities has now increased for five consecutive years, with a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $537.38 million in FY2024 (+21.9%), $440.78 million in FY2023 (+9.3%), $403.21 million in FY2022 (+9.2%) and $369.13 million in FY2021 (+26.4%).
- Quarterly Total Current Liabilities has moved between $345.7 million (Q3 2021) and $574.66 million (Q4 2025) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for 21 straight quarters, with growth averaging 12.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 1.9% (Q2 2024) to 31.2% (Q3 2021).
- Per Business Quant data, VERX's Total Current Liabilities in the three quarters before Q2 2026 was $566.58 million (Q1 2026), $574.66 million (Q4 2025) and $515.94 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.54 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 47.51 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 22.94 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 26.34 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 12.15 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 50.02 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 10.16 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 8.81 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 495.11 Mn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 564.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 564.42 Mn |
| Mar 31, 2026 | 566.58 Mn |
| Dec 31, 2025 | 574.66 Mn |
| Sep 30, 2025 | 515.94 Mn |
| Jun 30, 2025 | 506.32 Mn |
| Mar 31, 2025 | 513.11 Mn |
| Dec 31, 2024 | 537.38 Mn |
| Sep 30, 2024 | 457.92 Mn |
| Jun 30, 2024 | 439.07 Mn |
| Mar 31, 2024 | 442.50 Mn |
| Dec 31, 2023 | 440.78 Mn |
| Sep 30, 2023 | 433.11 Mn |
| Jun 30, 2023 | 430.90 Mn |
| Mar 31, 2023 | 421.95 Mn |
| Dec 31, 2022 | 403.21 Mn |
| Sep 30, 2022 | 373.97 Mn |
| Jun 30, 2022 | 368.88 Mn |
| Mar 31, 2022 | 356.56 Mn |
| Dec 31, 2021 | 369.13 Mn |
| Sep 30, 2021 | 345.70 Mn |
Vertex Total 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-current-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();