Tyler Technologies (TYL) Non-Current Debt (2010 - 2023)
Tyler Technologies (TYL) recorded Non-Current Debt of -$42.7 million in FY2012, compared with $34.2 million in FY2011.
Analysis
Tyler Technologies (TYL) Non-Current Debt (2010 - 2023) Analysis & Trends
Starting with FY2009, Tyler Technologies' Non-Current Debt history includes 4 years.
- Per Business Quant data, TYL's Non-Current Debt was $34.2 million in FY2011 (+29.1%), $26.5 million in FY2010 and -$8 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | - |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 117.71 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 9.93 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 39.29 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 | 4.96 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 6.42 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 6.67 Bn |
| 10 | Tyler Technologies | 15.60 Bn | 12.24 Bn | 307.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 109.40 Mn |
| Jun 30, 2023 | 243.73 Mn |
| Mar 31, 2023 | 243.60 Mn |
| Dec 31, 2022 | 362.91 Mn |
| Sep 30, 2022 | 452.14 Mn |
| Jun 30, 2022 | 639.46 Mn |
| Mar 31, 2022 | 698.99 Mn |
| Dec 31, 2021 | 718.51 Mn |
| Sep 30, 2021 | 805.54 Mn |
| Jun 30, 2021 | 862.56 Mn |
| Jun 30, 2019 | 15.00 Mn |
| Mar 31, 2019 | 85.00 Mn |
| Dec 31, 2016 | 10.00 Mn |
| Sep 30, 2016 | 34.00 Mn |
| Jun 30, 2016 | 135.00 Mn |
| Mar 31, 2016 | 140.00 Mn |
| Dec 31, 2015 | 66.00 Mn |
| Dec 31, 2012 | 18.00 Mn |
| Sep 30, 2012 | 28.00 Mn |
| Jun 30, 2012 | 65.70 Mn |
API Access
Tyler Technologies Non-Current Debt 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-current-debt&ticker=TYL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=TYL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();