Cna Financial (CNA) Total Liabilities (2010 - 2026)
Cna Financial's Total Liabilities was $58.69 billion in Q2 2026, up 0.7% from $58.28 billion a year earlier and up 1.7% from the prior quarter.
Cna Financial (CNA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Cna Financial came in at $57.82 billion, up 3.3% from FY2024.
- Total Liabilities has now increased for three consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $55.98 billion in FY2024 (+2.1%), $54.82 billion in FY2023 (+4.5%), $52.45 billion in FY2022 (-2.6%) and $53.83 billion in FY2021 (+4.9%).
- The Q2 2026 figure marks the highest quarterly Total Liabilities in data going back to Q4 2010.
- Compared with a year earlier, Total Liabilities has increased for 13 straight quarters, with growth averaging 3.1% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was Q3 2021 (growth of 6.1%); the worst was Q3 2022 (a decline of 3.1%).
- Per Business Quant data, CNA's Total Liabilities in the three quarters before Q2 2026 was $57.7 billion (Q1 2026), $57.82 billion (Q4 2025) and $58.43 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 512.89 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 200.48 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 90.59 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 44.25 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 110.46 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | 751.17 Bn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 731.63 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 58.06 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 91.06 Bn |
| 10 | Cna Financial | 12.32 Bn | 4.53 Bn | - | 58.69 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.69 Bn |
| Mar 31, 2026 | 57.70 Bn |
| Dec 31, 2025 | 57.82 Bn |
| Sep 30, 2025 | 58.43 Bn |
| Jun 30, 2025 | 58.28 Bn |
| Mar 31, 2025 | 57.05 Bn |
| Dec 31, 2024 | 55.98 Bn |
| Sep 30, 2024 | 56.60 Bn |
| Jun 30, 2024 | 55.32 Bn |
| Mar 31, 2024 | 55.41 Bn |
| Dec 31, 2023 | 54.82 Bn |
| Sep 30, 2023 | 53.39 Bn |
| Jun 30, 2023 | 54.36 Bn |
| Mar 31, 2023 | 53.39 Bn |
| Dec 31, 2022 | 52.45 Bn |
| Sep 30, 2022 | 52.21 Bn |
| Jun 30, 2022 | 53.22 Bn |
| Mar 31, 2022 | 54.09 Bn |
| Dec 31, 2021 | 53.83 Bn |
| Sep 30, 2021 | 53.86 Bn |
Cna Financial Total 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-liabilities&ticker=CNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=CNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();