Tyler Technologies (TYL) Operating Income (2010 - 2026)
Tyler Technologies (TYL) recorded Operating Income of $117.04 million in Q3 2026, up 19.5% from $97.93 million a year earlier and up 23.1% from the prior quarter.
Tyler Technologies (TYL) Operating Income (2010 - 2026) Analysis & Trends
On a TTM basis, Tyler Technologies' Operating Income came in at $386.92 million as of Sep 30, 2026, up 9.2% year-over-year; for FY2025, it was $357.68 million, up 19.4% from FY2024.
- Annual Operating Income has increased for seven straight years, with a five-year compound annual growth rate of 15.6% (FY2020 to FY2025).
- Across earlier years, Operating Income came in at $299.53 million in FY2024 (+37.1%), $218.54 million in FY2023 (+2.0%), $214.25 million in FY2022 (+18.5%) and $180.74 million in FY2021 (+4.5%).
- The Q3 2026 figure is the highest quarterly Operating Income in data going back to Q2 2010.
- On a year-over-year basis, Operating Income rose in seven of the last eight quarters, with growth averaging 19.9%.
- Peak year-over-year performance for Operating Income in the last five years was growth of 50.1% in Q4 2024, against a decline of 19.5% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $95.1 million (Q2 2026), $99.81 million (Q1 2026) and $74.98 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | 1.08 Bn |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 6.73 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | 3.37 Bn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 2.33 Bn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | -1.65 Bn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 385.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 475.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 20.91 Bn |
| 10 | Tyler Technologies | 17.03 Bn | 13.73 Bn | 318.21 Mn | 117.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 117.04 Mn |
| Jun 30, 2026 | 95.10 Mn |
| Mar 31, 2026 | 99.81 Mn |
| Dec 31, 2025 | 74.98 Mn |
| Sep 30, 2025 | 97.93 Mn |
| Jun 30, 2025 | 95.60 Mn |
| Mar 31, 2025 | 89.17 Mn |
| Dec 31, 2024 | 71.69 Mn |
| Sep 30, 2024 | 82.83 Mn |
| Jun 30, 2024 | 78.04 Mn |
| Mar 31, 2024 | 66.98 Mn |
| Dec 31, 2023 | 47.75 Mn |
| Sep 30, 2023 | 63.94 Mn |
| Jun 30, 2023 | 61.87 Mn |
| Mar 31, 2023 | 44.98 Mn |
| Dec 31, 2022 | 40.71 Mn |
| Sep 30, 2022 | 60.91 Mn |
| Jun 30, 2022 | 56.76 Mn |
| Mar 31, 2022 | 55.87 Mn |
| Dec 31, 2021 | 48.05 Mn |
Tyler Technologies Operating Income 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=operating-income&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();