Tyler Technologies (TYL) Non Operating Interest Expenses (2023 - 2026)
Tyler Technologies' Non Operating Interest Expenses was $3.77 million in Q3 2026, up 205.5% from $1.24 million a year earlier and up 26.9% from the prior quarter.
Powered by 
Analysis
Tyler Technologies (TYL) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Tyler Technologies' Non Operating Interest Expenses was $9.07 million through Sep 30, 2026, up 81.2% year-over-year; for FY2025, it came in at $5 million, down 15.8% from FY2024.
- Non Operating Interest Expenses has now declined for three consecutive years, with a three-year compound annual growth rate of -44.0% (FY2022 to FY2025).
- In earlier years, Non Operating Interest Expenses was $5.93 million in FY2024 (-74.9%), $23.63 million in FY2023 (-16.7%) and $28.38 million in FY2022.
- The Q3 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q3 2023.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last eight quarters, with growth averaging 27.2%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q3 2026 (growth of 205.5%); the worst was Q2 2024 (a decline of 80.4%).
- Per Business Quant data, TYL's Non Operating Interest Expenses in the three quarters before Q3 2026 was $2.97 million (Q2 2026), $1.07 million (Q1 2026) and $1.25 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 386.60 Bn | 351.42 Bn | 1.93 Bn | - |
| 2 | Oracle | 343.94 Bn | 216.07 Bn | - | 1.43 Bn |
| 3 | Sap Se | 272.35 Bn | 199.75 Bn | 8.64 Bn | -330.17 Mn |
| 4 | Salesforce | 175.46 Bn | 131.33 Bn | 8.70 Bn | 473.00 Mn |
| 5 | Automatic Data Processing | 122.07 Bn | 108.86 Bn | 2.53 Bn | 148.10 Mn |
| 6 | ServiceNow | 105.47 Bn | 84.73 Bn | 2.90 Bn | 81.00 Mn |
| 7 | Intuit | 94.25 Bn | 73.60 Bn | 3.44 Bn | 70.00 Mn |
| 8 | Relx | 73.66 Bn | 72.75 Bn | - | - |
| 9 | Strategy | 51.78 Bn | 38.91 Bn | 89.63 Mn | 15.38 Mn |
| 10 | Tyler Technologies | 17.03 Bn | 13.73 Bn | 318.21 Mn | 3.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.77 Mn |
| Jun 30, 2026 | 2.97 Mn |
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 1.25 Mn |
| Sep 30, 2025 | 1.24 Mn |
| Jun 30, 2025 | 1.26 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.25 Mn |
| Mar 31, 2024 | 2.18 Mn |
| Dec 31, 2023 | 3.75 Mn |
| Sep 30, 2023 | 5.81 Mn |
| Jun 30, 2023 | 6.39 Mn |
API Access
Tyler Technologies Non Operating Interest 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=non-operating-interest-expenses&ticker=TYL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();