Vertex (VERX) Receivables (2018 - 2026)
Vertex (VERX) reported Receivables of $153.43 million for Q2 2026, up 6.8% from $143.66 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Vertex (VERX) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2025, Vertex posted Receivables of $183.45 million, up 11.6% from FY2024.
- Receivables has increased for four consecutive years, with a five-year compound annual growth rate of 18.9% (FY2020 to FY2025).
- By year, Receivables came in at $164.43 million in FY2024 (+16.0%), $141.75 million in FY2023 (+37.8%), $102.89 million in FY2022 (+33.7%) and $76.93 million in FY2021 (-0.3%).
- Five-year quarterly Receivables spans a low of $73.23 million in Q3 2021 and a high of $183.45 million in Q4 2025.
- Year over year, Receivables has now increased in each of the last eight quarters, with growth averaging 9.3% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2023 (growth of 45.1%); the low point was Q2 2024 (a decline of 7.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $159 million (Q1 2026), $183.45 million (Q4 2025) and $131.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 153.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.43 Mn |
| Mar 31, 2026 | 159.00 Mn |
| Dec 31, 2025 | 183.45 Mn |
| Sep 30, 2025 | 131.50 Mn |
| Jun 30, 2025 | 143.66 Mn |
| Mar 31, 2025 | 152.34 Mn |
| Dec 31, 2024 | 164.43 Mn |
| Sep 30, 2024 | 129.91 Mn |
| Jun 30, 2024 | 120.08 Mn |
| Mar 31, 2024 | 133.15 Mn |
| Dec 31, 2023 | 141.75 Mn |
| Sep 30, 2023 | 129.02 Mn |
| Jun 30, 2023 | 129.09 Mn |
| Mar 31, 2023 | 102.76 Mn |
| Dec 31, 2022 | 102.89 Mn |
| Sep 30, 2022 | 94.53 Mn |
| Jun 30, 2022 | 88.96 Mn |
| Mar 31, 2022 | 75.81 Mn |
| Dec 31, 2021 | 76.93 Mn |
| Sep 30, 2021 | 73.23 Mn |
API Access
Vertex Receivables 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=receivables&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();