Tyler Technologies (TYL) Debt Ratio (2010 - 2025)
Tyler Technologies' (TYL) Debt Ratio was 0.11 for Q4 2025, down 3.1% from the prior quarter.
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Analysis
Tyler Technologies (TYL) Debt Ratio (2010 - 2025) Analysis & Trends
Dating back to Q4 2010, Tyler Technologies' Debt Ratio record includes 30 quarters.
- By year, Debt Ratio came in at 0.01 in FY2023 (-87.3%), 0.08 in FY2022 (-47.0%) and 0.16 in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Debt Ratio since Q4 2023.
- Per Business Quant data, the three quarters before Q4 2025 came in at 0.11 (Q3 2025), 0.11 (Q2 2025) and 0.12 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 466.13 Bn | 435.08 Bn | 1.64 Bn | - |
| 2 | Oracle | 383.82 Bn | 255.95 Bn | - | 0.41 |
| 3 | Sap Se | 263.61 Bn | 191.39 Bn | 8.40 Bn | 0.11 |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 0.36 |
| 5 | ServiceNow | 149.64 Bn | 128.10 Bn | 2.82 Bn | 0.24 |
| 6 | Automatic Data Processing | 115.45 Bn | 97.58 Bn | 2.51 Bn | 0.08 |
| 7 | Intuit | 89.90 Bn | 69.25 Bn | 3.44 Bn | 0.21 |
| 8 | Relx | 71.97 Bn | 71.07 Bn | - | 0.16 |
| 9 | Thomson Reuters | 48.55 Bn | 45.33 Bn | - | 0.18 |
| 10 | Tyler Technologies | 15.00 Bn | 11.64 Bn | 307.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.11 |
| Sep 30, 2025 | 0.11 |
| Jun 30, 2025 | 0.11 |
| Mar 31, 2025 | 0.12 |
| Dec 31, 2023 | 0.01 |
| Sep 30, 2023 | 0.03 |
| Jun 30, 2023 | 0.06 |
| Mar 31, 2023 | 0.06 |
| Dec 31, 2022 | 0.08 |
| Sep 30, 2022 | 0.10 |
| Jun 30, 2022 | 0.14 |
| Mar 31, 2022 | 0.15 |
| Dec 31, 2021 | 0.16 |
| Sep 30, 2021 | 0.18 |
| Jun 30, 2021 | 0.19 |
| Jun 30, 2019 | 0.01 |
| Mar 31, 2019 | 0.04 |
| Dec 31, 2016 | 0.01 |
| Sep 30, 2016 | 0.03 |
| Jun 30, 2016 | 0.10 |
API Access
Tyler Technologies Debt Ratio 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=debt-ratio&ticker=TYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();