Tyler Technologies (TYL) Research & Development (2010 - 2026)
Tyler Technologies (TYL) reported Research & Development of $63.35 million for Q3 2026, up 22.3% from $51.79 million a year earlier and up 0.8% from the prior quarter.
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Analysis
Tyler Technologies (TYL) Research & Development (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Tyler Technologies' Research & Development came in at $240.03 million, up 33.4% 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 Q3 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 11 quarters, with growth averaging 47.1% 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 Q3 2026 came in at $62.83 million (Q2 2026), $59.73 million (Q1 2026) and $54.13 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 219.72 Mn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 2.40 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 2.15 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 1.69 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 251.30 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 956.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 24.06 Mn |
| 10 | Tyler Technologies | 17.03 Bn | 13.73 Bn | 318.21 Mn | 63.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.35 Mn |
| 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 |
API Access
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_KEYimport 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();