Cna Financial (CNA) Operating Expenses (2010 - 2026)
Cna Financial (CNA) recorded Operating Expenses of $3.42 billion in Q2 2026, up 2.6% from $3.34 billion a year earlier and up 0.4% from the prior quarter.
Cna Financial (CNA) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Cna Financial's Operating Expenses came in at $13.59 billion as of Jun 30, 2026, up 0.4% year-over-year; for FY2025, it came in at $13.37 billion, up 2.4% from FY2024.
- Annual Operating Expenses has increased for eight straight years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $13.06 billion in FY2024 (+10.8%), $11.78 billion in FY2023 (+6.5%), $11.07 billion in FY2022 (+5.9%) and $10.45 billion in FY2021 (+4.6%).
- Quarterly Operating Expenses has ranged from $2.53 billion in Q1 2022 to $3.67 billion in Q4 2024 over the past five years.
- On a year-over-year basis, Operating Expenses rose in seven of the last eight quarters, with growth averaging 5.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 20.4% in Q4 2024, against a decline of 5.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.41 billion (Q1 2026), $3.45 billion (Q4 2025) and $3.3 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - | -902.21 Mn |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - | 3.59 Bn |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn | 14.45 Bn |
| 10 | Cna Financial | 12.32 Bn | 4.53 Bn | - | 3.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.42 Bn |
| Mar 31, 2026 | 3.41 Bn |
| Dec 31, 2025 | 3.45 Bn |
| Sep 30, 2025 | 3.30 Bn |
| Jun 30, 2025 | 3.34 Bn |
| Mar 31, 2025 | 3.28 Bn |
| Dec 31, 2024 | 3.67 Bn |
| Sep 30, 2024 | 3.26 Bn |
| Jun 30, 2024 | 3.12 Bn |
| Mar 31, 2024 | 3.02 Bn |
| Dec 31, 2023 | 3.05 Bn |
| Sep 30, 2023 | 3.01 Bn |
| Jun 30, 2023 | 2.94 Bn |
| Mar 31, 2023 | 2.78 Bn |
| Dec 31, 2022 | 2.83 Bn |
| Sep 30, 2022 | 3.01 Bn |
| Jun 30, 2022 | 2.70 Bn |
| Mar 31, 2022 | 2.53 Bn |
| Dec 31, 2021 | 2.75 Bn |
| Sep 30, 2021 | 2.65 Bn |
Cna Financial Operating 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=operating-expenses&ticker=CNA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();