Cincinnati Financial (CINF) Operating Expenses (2009 - 2026)
Cincinnati Financial (CINF) posted Operating Expenses of $2.7 billion for Q2 2026, up 12.7% from $2.39 billion a year earlier and up 6.3% from the prior quarter.
Cincinnati Financial (CINF) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Cincinnati Financial was $9.8 billion, up 4.0% year-over-year; for FY2025, it was $9.65 billion, up 13.8% from FY2024.
- Annual Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In prior years, Cincinnati Financial's Operating Expenses was $8.48 billion in FY2024 (+9.6%), $7.74 billion in FY2023 (+6.6%), $7.26 billion in FY2022 (+22.4%) and $5.93 billion in FY2021 (-1.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q2 2009.
- On a year-over-year basis, Operating Expenses increased in seven of the last eight quarters, with growth averaging 11.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2025, with growth of 35.9%; the weakest was Q1 2026, with a decline of 5.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.54 billion (Q1 2026), $2.25 billion (Q4 2025) and $2.31 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 139.91 Bn | 86.50 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 130.01 Bn | 105.85 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 91.57 Bn | 83.73 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.23 Bn | 59.47 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 76.38 Bn | -18.50 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.76 Bn | 61.17 Bn | - | 3.59 Bn |
| 7 | Metlife | 64.93 Bn | -41.85 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 64.91 Bn | 26.18 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 63.28 Bn | 56.49 Bn | - | 3.33 Bn |
| 10 | Cincinnati Financial | 26.56 Bn | 20.22 Bn | 2.39 Bn | 2.70 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.70 Bn |
| Mar 31, 2026 | 2.54 Bn |
| Dec 31, 2025 | 2.25 Bn |
| Sep 30, 2025 | 2.31 Bn |
| Jun 30, 2025 | 2.39 Bn |
| Mar 31, 2025 | 2.69 Bn |
| Dec 31, 2024 | 2.06 Bn |
| Sep 30, 2024 | 2.28 Bn |
| Jun 30, 2024 | 2.16 Bn |
| Mar 31, 2024 | 1.98 Bn |
| Dec 31, 2023 | 1.87 Bn |
| Sep 30, 2023 | 1.96 Bn |
| Jun 30, 2023 | 1.94 Bn |
| Mar 31, 2023 | 1.97 Bn |
| Dec 31, 2022 | 1.83 Bn |
| Sep 30, 2022 | 1.99 Bn |
| Jun 30, 2022 | 1.87 Bn |
| Mar 31, 2022 | 1.57 Bn |
| Dec 31, 2021 | 1.45 Bn |
| Sep 30, 2021 | 1.60 Bn |
Cincinnati 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=CINF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CINF", "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=CINF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();