Cna Financial (CNA) Long-Term Debt Repayments (2010 - 2025)
Cna Financial's Long-Term Debt Repayments came in at $500 million for Q4 2025.
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Analysis
Cna Financial (CNA) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
Going back to Q3 2010, Cna Financial's Long-Term Debt Repayments data covers 12 quarters.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $550 million in FY2024 (+126.3%) and $243 million in FY2023.
- The Q4 2025 figure represents the highest quarterly Long-Term Debt Repayments since Q2 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.65 Bn | 87.23 Bn | 9.13 Bn | 1.50 Bn |
| 2 | Progressive | 133.70 Bn | 109.53 Bn | 9.04 Bn | - |
| 3 | Marsh & Mclennan Companies | 94.75 Bn | 86.91 Bn | - | 637.00 Mn |
| 4 | Travelers Companies | 85.38 Bn | 61.63 Bn | 6.23 Bn | - |
| 5 | Manulife Financial | 77.63 Bn | -17.25 Bn | - | - |
| 6 | Arthur J. Gallagher | 69.27 Bn | 63.67 Bn | - | - |
| 7 | Metlife | 66.42 Bn | -40.36 Bn | 7.82 Bn | 230.00 Mn |
| 8 | Allstate | 66.13 Bn | 27.40 Bn | 8.73 Bn | - |
| 9 | Aon | 65.25 Bn | 58.47 Bn | - | - |
| 10 | Cna Financial | 13.37 Bn | 5.59 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 500.00 Mn |
| Dec 31, 2023 | 243.00 Mn |
| Sep 30, 2020 | 419.00 Mn |
| Jun 30, 2019 | 520.00 Mn |
| Sep 30, 2018 | 30.00 Mn |
| Mar 31, 2018 | 150.00 Mn |
| Sep 30, 2017 | 391.00 Mn |
| Mar 31, 2016 | 358.00 Mn |
| Dec 31, 2011 | 31.00 Mn |
| Sep 30, 2011 | 11.00 Mn |
| Mar 31, 2011 | 409.00 Mn |
| Sep 30, 2010 | 100.00 Mn |
API Access
Cna Financial 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=CNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "CNA", "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=CNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();