Tyler Technologies (TYL) Selling, General & Administrative (2010 - 2026)
Tyler Technologies (TYL) recorded Selling, General & Administrative of $93.73 million in Q2 2026, up 22.4% from $76.6 million a year earlier and up 11.6% from the prior quarter.
Tyler Technologies (TYL) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a TTM basis, Tyler Technologies' Selling, General & Administrative came in at $338.09 million as of Jun 30, 2026, up 9.5% year-over-year; for FY2025, it was $316.45 million, up 5.2% from FY2024.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $300.94 million in FY2024 (-2.5%), $308.58 million in FY2023 (+15.4%), $267.32 million in FY2022 (-1.7%) and $271.96 million in FY2021 (+68.8%).
- The Q2 2026 figure is the highest quarterly Selling, General & Administrative since Q3 2021.
- On a year-over-year basis, Selling, General & Administrative has increased for seven consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 52.4% in Q3 2021, against a decline of 37.7% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $83.97 million (Q1 2026), $80.42 million (Q4 2025) and $79.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 376.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Tyler Technologies | 15.60 Bn | 12.24 Bn | 307.06 Mn | 93.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.73 Mn |
| Mar 31, 2026 | 83.97 Mn |
| Dec 31, 2025 | 80.42 Mn |
| Sep 30, 2025 | 79.97 Mn |
| Jun 30, 2025 | 76.60 Mn |
| Mar 31, 2025 | 79.45 Mn |
| Dec 31, 2024 | 80.35 Mn |
| Sep 30, 2024 | 72.46 Mn |
| Jun 30, 2024 | 75.42 Mn |
| Mar 31, 2024 | 72.71 Mn |
| Dec 31, 2023 | 80.02 Mn |
| Sep 30, 2023 | 78.52 Mn |
| Jun 30, 2023 | 77.68 Mn |
| Mar 31, 2023 | 72.36 Mn |
| Dec 31, 2022 | 66.88 Mn |
| Sep 30, 2022 | 69.93 Mn |
| Jun 30, 2022 | 67.82 Mn |
| Mar 31, 2022 | 62.69 Mn |
| Dec 31, 2021 | -17.59 Mn |
| Sep 30, 2021 | 101.85 Mn |
Tyler Technologies Selling, General & Administrative 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=selling-general-and-administrative&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();