Tyler Technologies (TYL) Total Non-Current Liabilities (2020 - 2026)
Tyler Technologies (TYL) recorded Total Non-Current Liabilities of $2.74 billion in Q2 2026, up 55.3% from $1.77 billion a year earlier and up 127.1% from the prior quarter.
Tyler Technologies (TYL) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Tyler Technologies reported Total Non-Current Liabilities of $1.9 billion, up 8.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 25.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $1.76 billion in FY2024 (+2.8%), $1.72 billion in FY2023 (-16.1%), $2.05 billion in FY2022 (-14.9%) and $2.41 billion in FY2021 (+287.2%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Non-Current Liabilities rose in six of the last eight quarters, with growth averaging 6.9%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 287.2% in Q4 2021, against a decline of 26.9% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.21 billion (Q1 2026), $1.9 billion (Q4 2025) and $1.82 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 1.78 Bn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 188.55 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | 12.35 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 67.55 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 18.55 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 56.02 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 17.49 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | 1.34 Mn |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 21.67 Bn |
| 10 | Tyler Technologies | 15.21 Bn | 11.85 Bn | 307.06 Mn | 2.74 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.74 Bn |
| Mar 31, 2026 | 1.21 Bn |
| Dec 31, 2025 | 1.90 Bn |
| Sep 30, 2025 | 1.82 Bn |
| Jun 30, 2025 | 1.77 Bn |
| Mar 31, 2025 | 1.65 Bn |
| Dec 31, 2024 | 1.76 Bn |
| Sep 30, 2024 | 1.69 Bn |
| Jun 30, 2024 | 1.66 Bn |
| Mar 31, 2024 | 1.56 Bn |
| Dec 31, 2023 | 1.72 Bn |
| Sep 30, 2023 | 1.76 Bn |
| Jun 30, 2023 | 1.85 Bn |
| Mar 31, 2023 | 1.85 Bn |
| Dec 31, 2022 | 2.05 Bn |
| Sep 30, 2022 | 2.11 Bn |
| Jun 30, 2022 | 2.32 Bn |
| Mar 31, 2022 | 2.33 Bn |
| Dec 31, 2021 | 2.41 Bn |
| Sep 30, 2021 | 2.48 Bn |
Tyler Technologies Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();