Tyler Technologies (TYL) Research & Development (2010 - 2026)
Tyler Technologies (TYL) reported Research & Development of $62.83 million for Q2 2026, up 23.6% from $50.84 million a year earlier and up 5.2% from the prior quarter.
Tyler Technologies (TYL) Research & Development (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tyler Technologies' Research & Development came in at $228.47 million, up 44.4% year-over-year; for FY2025, it came in at $204.6 million, up 73.5% from FY2024.
- Research & Development has increased for 16 consecutive years, with a five-year compound annual growth rate of 18.3% (FY2020 to FY2025).
- By year, Research & Development came in at $117.94 million in FY2024 (+7.6%), $109.6 million in FY2023 (+4.2%), $105.2 million in FY2022 (+12.5%) and $93.5 million in FY2021 (+5.8%).
- The Q2 2026 figure ranks as the highest quarterly Research & Development in data going back to Q2 2010.
- Year over year, Research & Development has now increased in each of the last ten quarters, with growth averaging 45.2% over the last eight quarters.
- The high point for year-over-year Research & Development in five years was Q4 2025 (growth of 83.9%); the low point was Q4 2023 (a decline of 19.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $59.73 million (Q1 2026), $54.13 million (Q4 2025) and $51.79 million (Q3 2025).
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 | Tyler Technologies | 15.60 Bn | 12.24 Bn | 307.06 Mn | 62.83 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 62.83 Mn |
| Mar 31, 2026 | 59.73 Mn |
| Dec 31, 2025 | 54.13 Mn |
| Sep 30, 2025 | 51.79 Mn |
| Jun 30, 2025 | 50.84 Mn |
| Mar 31, 2025 | 47.84 Mn |
| Dec 31, 2024 | 29.44 Mn |
| Sep 30, 2024 | 30.12 Mn |
| Jun 30, 2024 | 28.95 Mn |
| Mar 31, 2024 | 29.43 Mn |
| Dec 31, 2023 | 26.18 Mn |
| Sep 30, 2023 | 28.28 Mn |
| Jun 30, 2023 | 28.15 Mn |
| Mar 31, 2023 | 26.99 Mn |
| Dec 31, 2022 | 32.68 Mn |
| Sep 30, 2022 | 25.19 Mn |
| Jun 30, 2022 | 23.39 Mn |
| Mar 31, 2022 | 23.94 Mn |
| Dec 31, 2021 | 24.26 Mn |
| Sep 30, 2021 | 24.00 Mn |
Tyler Technologies 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=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "ticker": "TYL", "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=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();