Utg (UTGN) Long-Term Debt Repayments (2010 - 2024)
Utg's Long-Term Debt Repayments came in at $19 million for FY2024, down 11.6% from $21.5 million in FY2023.
Analysis
Utg (UTGN) Long-Term Debt Repayments (2010 - 2024) Analysis & Trends
Going back to FY2010, Utg's Long-Term Debt Repayments data covers 10 years.
- The FY2024 figure represents the lowest annual Long-Term Debt Repayments since FY2017.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $21.5 million in FY2023 (-66.1%) and $63.5 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,168.75 Bn | -248.72 Bn | 55.86 Bn | 1.96 Bn |
| 2 | Chubb | 136.94 Bn | 89.00 Bn | 9.13 Bn | 1.50 Bn |
| 3 | Progressive | 132.57 Bn | 108.40 Bn | 9.04 Bn | - |
| 4 | Marsh & Mclennan Companies | 93.82 Bn | 86.22 Bn | - | 637.00 Mn |
| 5 | Travelers Companies | 83.08 Bn | 59.33 Bn | 6.23 Bn | - |
| 6 | Manulife Financial | 75.37 Bn | -18.34 Bn | - | - |
| 7 | Arthur J. Gallagher | 68.71 Bn | 63.14 Bn | - | - |
| 8 | Aon | 64.39 Bn | 57.63 Bn | - | - |
| 9 | Allstate | 64.30 Bn | 25.55 Bn | 8.73 Bn | - |
| 10 | Utg | 181.94 Mn | -10.08 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 19.00 Mn |
| Sep 30, 2023 | 2.50 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 28.00 Mn |
| Sep 30, 2022 | 9.00 Mn |
| Jun 30, 2022 | 12.50 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2017 | 1.45 Mn |
| Jun 30, 2017 | 1.45 Mn |
| Sep 30, 2015 | 2.40 Mn |
| Jun 30, 2015 | 2.00 Mn |
| Dec 31, 2014 | 14.80 Mn |
| Sep 30, 2014 | 600,000.00 |
| Jun 30, 2014 | 900,000.00 |
| Dec 31, 2013 | 902,466.00 |
| Sep 30, 2013 | 1.86 Mn |
| Jun 30, 2013 | -9,500.00 |
| Mar 31, 2013 | 9,500.00 |
| Dec 31, 2012 | 4.17 Mn |
| Sep 30, 2012 | 1.61 Mn |
API Access
Utg Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=UTGN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "UTGN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=UTGN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();