Tyler Technologies (TYL) EBITDA (2010 - 2026)
Tyler Technologies' EBITDA came in at $154.17 million for Q3 2026, up 16.0% from $132.92 million a year earlier and up 17.8% from the prior quarter.
Tyler Technologies (TYL) EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Tyler Technologies reported EBITDA of $533.24 million, up 8.2% year-over-year; for FY2025, it was $496.03 million, up 12.0% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- Going back by year, EBITDA was $442.96 million in FY2024 (+18.9%), $372.62 million in FY2023 (-0.2%), $373.32 million in FY2022 (+18.0%) and $316.36 million in FY2021 (+24.3%).
- The Q3 2026 figure represents the highest quarterly EBITDA in data going back to Q3 2010.
- Year-over-year, EBITDA has increased for 14 consecutive quarters, with growth averaging 12.2% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q1 2022 (growth of 58.5%), and the weakest in Q1 2023 (a decline of 11.6%).
- Business Quant data shows TYL's EBITDA at $130.91 million (Q2 2026), $138.76 million (Q1 2026) and $109.4 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.09 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 10.13 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.75 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 3.89 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -1.19 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 954.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 20.93 Bn |
| 10 | Tyler Technologies | 17.03 Bn | 13.73 Bn | 318.21 Mn | 154.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 154.17 Mn |
| Jun 30, 2026 | 130.91 Mn |
| Mar 31, 2026 | 138.76 Mn |
| Dec 31, 2025 | 109.40 Mn |
| Sep 30, 2025 | 132.92 Mn |
| Jun 30, 2025 | 129.92 Mn |
| Mar 31, 2025 | 123.79 Mn |
| Dec 31, 2024 | 106.36 Mn |
| Sep 30, 2024 | 117.36 Mn |
| Jun 30, 2024 | 112.17 Mn |
| Mar 31, 2024 | 107.08 Mn |
| Dec 31, 2023 | 87.63 Mn |
| Sep 30, 2023 | 102.39 Mn |
| Jun 30, 2023 | 99.51 Mn |
| Mar 31, 2023 | 83.09 Mn |
| Dec 31, 2022 | 82.83 Mn |
| Sep 30, 2022 | 102.00 Mn |
| Jun 30, 2022 | 94.47 Mn |
| Mar 31, 2022 | 94.02 Mn |
| Dec 31, 2021 | 85.81 Mn |
Tyler Technologies EBITDA 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=ebitda&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();