Vertex (VERX) Research & Development (2019 - 2026)
Vertex (VERX) posted Research & Development of $24.81 million for Q2 2026, up 20.5% from $20.58 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Vertex (VERX) Research & Development (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Vertex was $91.6 million, up 19.5% year-over-year; for FY2025, it was $83.72 million, up 25.6% from FY2024.
- Annual Research & Development has increased for three consecutive years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- In prior years, Vertex's Research & Development was $66.67 million in FY2024 (+14.5%), $58.21 million in FY2023 (+39.0%), $41.88 million in FY2022 (-4.9%) and $44.02 million in FY2021 (-19.0%).
- The Q2 2026 figure stands as the highest quarterly Research & Development in data going back to Q2 2019.
- On a year-over-year basis, Research & Development has increased in each of the last seven quarters, with growth averaging 23.7% over the last eight quarters.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2023, with growth of 64.7%; the weakest was Q3 2021, with a decline of 40.1%.
- According to Business Quant data, Research & Development for the three prior quarters was $24.55 million (Q1 2026), $22.32 million (Q4 2025) and $19.93 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Vertex | 1.78 Bn | 644.01 Mn | 131.30 Mn | 24.81 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.81 Mn |
| Mar 31, 2026 | 24.55 Mn |
| Dec 31, 2025 | 22.32 Mn |
| Sep 30, 2025 | 19.93 Mn |
| Jun 30, 2025 | 20.58 Mn |
| Mar 31, 2025 | 20.89 Mn |
| Dec 31, 2024 | 19.59 Mn |
| Sep 30, 2024 | 15.62 Mn |
| Jun 30, 2024 | 14.61 Mn |
| Mar 31, 2024 | 16.85 Mn |
| Dec 31, 2023 | 12.90 Mn |
| Sep 30, 2023 | 16.77 Mn |
| Jun 30, 2023 | 12.68 Mn |
| Mar 31, 2023 | 15.86 Mn |
| Dec 31, 2022 | 11.58 Mn |
| Sep 30, 2022 | 10.35 Mn |
| Jun 30, 2022 | 10.31 Mn |
| Mar 31, 2022 | 9.63 Mn |
| Dec 31, 2021 | 10.75 Mn |
| Sep 30, 2021 | 9.88 Mn |
API Access
Vertex Research & Development 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=research-and-development&ticker=VERX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=VERX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();