Tyler Technologies (TYL) Cash & Equivalents (2010 - 2026)
Tyler Technologies' Cash & Equivalents was $895.35 million in Q2 2026, up 13.7% from $787.45 million a year earlier and up 183.3% from the prior quarter.
Tyler Technologies (TYL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Cash & Equivalents at Tyler Technologies came in at $1.02 billion, up 36.3% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- In earlier years, Cash & Equivalents was $744.72 million in FY2024 (+350.0%), $165.49 million in FY2023 (-4.8%), $173.86 million in FY2022 (-43.8%) and $309.17 million in FY2021 (-48.8%).
- Quarterly Cash & Equivalents has moved between $118.76 million (Q2 2023) and $1.02 billion (Q4 2025) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in seven of the last eight quarters, with growth averaging 149.8%.
- The best year-over-year quarter for Cash & Equivalents over five years was Q4 2024 (growth of 350.0%); the worst was Q1 2022 (a decline of 80.6%).
- Per Business Quant data, TYL's Cash & Equivalents in the three quarters before Q2 2026 was $316.01 million (Q1 2026), $1.02 billion (Q4 2025) and $834.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 2.03 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 36.37 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 12.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 8.31 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.50 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.23 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 4.71 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 295.17 Mn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 1.71 Bn |
| 10 | Tyler Technologies | 15.60 Bn | 12.24 Bn | 307.06 Mn | 895.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 895.35 Mn |
| Mar 31, 2026 | 316.01 Mn |
| Dec 31, 2025 | 1.02 Bn |
| Sep 30, 2025 | 834.10 Mn |
| Jun 30, 2025 | 787.45 Mn |
| Mar 31, 2025 | 705.73 Mn |
| Dec 31, 2024 | 744.72 Mn |
| Sep 30, 2024 | 538.30 Mn |
| Jun 30, 2024 | 250.72 Mn |
| Mar 31, 2024 | 188.24 Mn |
| Dec 31, 2023 | 165.49 Mn |
| Sep 30, 2023 | 131.49 Mn |
| Jun 30, 2023 | 118.76 Mn |
| Mar 31, 2023 | 130.85 Mn |
| Dec 31, 2022 | 173.86 Mn |
| Sep 30, 2022 | 185.93 Mn |
| Jun 30, 2022 | 253.06 Mn |
| Mar 31, 2022 | 243.26 Mn |
| Dec 31, 2021 | 309.17 Mn |
| Sep 30, 2021 | 234.13 Mn |
Tyler Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();