Chubb (CB) Operating Expenses (2009 - 2026)
Chubb (CB) reported Operating Expenses of $12.19 billion for Q2 2026, up 9.6% from $11.12 billion a year earlier and up 3.5% from the prior quarter.
Chubb (CB) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Chubb's Operating Expenses came in at $47.52 billion, up 3.9% year-over-year; for FY2025, it was $46.36 billion, up 4.7% from FY2024.
- Operating Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 7.8% (FY2020 to FY2025).
- By year, Operating Expenses came in at $44.3 billion in FY2024 (+10.2%), $40.21 billion in FY2023 (+9.8%), $36.61 billion in FY2022 (+17.8%) and $31.08 billion in FY2021 (-2.4%).
- Five-year quarterly Operating Expenses spans a low of $7.33 billion in Q1 2022 and a high of $12.25 billion in Q3 2025.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2022 (growth of 25.8%); the low point was Q1 2022 (a decline of 0.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $11.78 billion (Q1 2026), $11.3 billion (Q4 2025) and $12.25 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 134.30 Bn | 80.89 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 130.32 Bn | 106.15 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 85.17 Bn | 76.66 Bn | - | 5.51 Bn |
| 4 | Travelers Companies | 78.40 Bn | 54.65 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 73.81 Bn | -21.07 Bn | - | -902.21 Mn |
| 6 | Metlife | 64.41 Bn | -42.37 Bn | 7.82 Bn | 18.12 Bn |
| 7 | Allstate | 60.46 Bn | 21.73 Bn | 8.73 Bn | 14.45 Bn |
| 8 | Arthur J. Gallagher | 60.04 Bn | 54.44 Bn | - | 3.59 Bn |
| 9 | Aon | 58.69 Bn | 51.91 Bn | - | 3.33 Bn |
| 10 | Aflac | 58.66 Bn | 33.88 Bn | 2.27 Bn | 3.12 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.19 Bn |
| Mar 31, 2026 | 11.78 Bn |
| Dec 31, 2025 | 11.30 Bn |
| Sep 30, 2025 | 12.25 Bn |
| Jun 30, 2025 | 11.12 Bn |
| Mar 31, 2025 | 11.69 Bn |
| Dec 31, 2024 | 11.06 Bn |
| Sep 30, 2024 | 11.86 Bn |
| Jun 30, 2024 | 11.13 Bn |
| Mar 31, 2024 | 10.26 Bn |
| Dec 31, 2023 | 10.38 Bn |
| Sep 30, 2023 | 11.40 Bn |
| Jun 30, 2023 | 9.65 Bn |
| Mar 31, 2023 | 8.78 Bn |
| Dec 31, 2022 | 9.80 Bn |
| Sep 30, 2022 | 11.07 Bn |
| Jun 30, 2022 | 8.42 Bn |
| Mar 31, 2022 | 7.33 Bn |
| Dec 31, 2021 | 7.87 Bn |
| Sep 30, 2021 | 8.79 Bn |
Chubb 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=CB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CB", "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=CB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();