Tyler Technologies (TYL) Accumulated Expenses (2010 - 2026)
Tyler Technologies' Accumulated Expenses was $182.32 million in Q2 2026, up 5.6% from $172.61 million a year earlier and up 36.8% from the prior quarter.
Tyler Technologies (TYL) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Tyler Technologies came in at $190.69 million, down 3.5% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $197.71 million in FY2024 (+24.7%), $158.56 million in FY2023 (+20.2%), $131.94 million in FY2022 (-16.7%) and $158.42 million in FY2021 (+90.7%).
- Quarterly Accumulated Expenses has moved between $104.52 million (Q1 2023) and $197.71 million (Q4 2024) over five years.
- Compared with a year earlier, Accumulated Expenses was higher in seven of the last eight quarters, with growth averaging 11.4%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2021 (growth of 120.7%); the worst was Q1 2023 (a decline of 25.8%).
- Per Business Quant data, TYL's Accumulated Expenses in the three quarters before Q2 2026 was $133.26 million (Q1 2026), $190.69 million (Q4 2025) and $173.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Tyler Technologies | 15.60 Bn | 12.24 Bn | 307.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.32 Mn |
| Mar 31, 2026 | 133.26 Mn |
| Dec 31, 2025 | 190.69 Mn |
| Sep 30, 2025 | 173.10 Mn |
| Jun 30, 2025 | 172.61 Mn |
| Mar 31, 2025 | 127.58 Mn |
| Dec 31, 2024 | 197.71 Mn |
| Sep 30, 2024 | 160.69 Mn |
| Jun 30, 2024 | 153.03 Mn |
| Mar 31, 2024 | 106.45 Mn |
| Dec 31, 2023 | 158.56 Mn |
| Sep 30, 2023 | 134.41 Mn |
| Jun 30, 2023 | 126.56 Mn |
| Mar 31, 2023 | 104.52 Mn |
| Dec 31, 2022 | 131.94 Mn |
| Sep 30, 2022 | 134.31 Mn |
| Jun 30, 2022 | 133.91 Mn |
| Mar 31, 2022 | 140.94 Mn |
| Dec 31, 2021 | 158.42 Mn |
| Sep 30, 2021 | 180.28 Mn |
Tyler Technologies Accumulated Expenses 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=accumulated-expenses&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();