Arch Capital (ACGL) Operating Expenses (2009 - 2026)
Arch Capital's Operating Expenses was $3.49 billion in Q2 2026, down 8.1% from $3.8 billion a year earlier but up 2.4% from the prior quarter.
Arch Capital (ACGL) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Arch Capital's Operating Expenses was $14.06 billion through Jun 30, 2026, down 6.8% year-over-year; for FY2025, it came in at $14.95 billion, up 15.3% from FY2024.
- Operating Expenses has now increased for seven consecutive years, with a five-year compound annual growth rate of 16.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $12.97 billion in FY2024 (+26.5%), $10.25 billion in FY2023 (+26.1%), $8.13 billion in FY2022 (+13.7%) and $7.15 billion in FY2021 (+2.8%).
- Quarterly Operating Expenses has moved between $1.69 billion (Q4 2021) and $4 billion (Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses has declined for four straight quarters, with growth averaging 15.0% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 44.0%); the worst was Q1 2026 (a decline of 14.6%).
- Per Business Quant data, ACGL's Operating Expenses in the three quarters before Q2 2026 was $3.41 billion (Q1 2026), $3.55 billion (Q4 2025) and $3.61 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 138.35 Bn | 84.93 Bn | 9.13 Bn | 12.19 Bn |
| 2 | Progressive | 129.14 Bn | 104.97 Bn | 9.04 Bn | 19.40 Bn |
| 3 | Marsh & Mclennan Companies | 91.11 Bn | 83.27 Bn | - | 5.65 Bn |
| 4 | Travelers Companies | 83.32 Bn | 59.56 Bn | 6.23 Bn | 9.39 Bn |
| 5 | Manulife Financial | 75.74 Bn | -19.14 Bn | - | -902.21 Mn |
| 6 | Arthur J. Gallagher | 66.49 Bn | 60.90 Bn | - | 3.59 Bn |
| 7 | Metlife | 64.97 Bn | -41.81 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Allstate | 63.98 Bn | 25.25 Bn | 8.73 Bn | 14.45 Bn |
| 9 | Aon | 63.25 Bn | 56.46 Bn | - | 3.33 Bn |
| 10 | Arch Capital | 34.75 Bn | 28.87 Bn | 2.47 Bn | 3.49 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.49 Bn |
| Mar 31, 2026 | 3.41 Bn |
| Dec 31, 2025 | 3.55 Bn |
| Sep 30, 2025 | 3.61 Bn |
| Jun 30, 2025 | 3.80 Bn |
| Mar 31, 2025 | 4.00 Bn |
| Dec 31, 2024 | 3.61 Bn |
| Sep 30, 2024 | 3.67 Bn |
| Jun 30, 2024 | 2.91 Bn |
| Mar 31, 2024 | 2.78 Bn |
| Dec 31, 2023 | 2.79 Bn |
| Sep 30, 2023 | 2.59 Bn |
| Jun 30, 2023 | 2.45 Bn |
| Mar 31, 2023 | 2.43 Bn |
| Dec 31, 2022 | 2.18 Bn |
| Sep 30, 2022 | 2.39 Bn |
| Jun 30, 2022 | 1.79 Bn |
| Mar 31, 2022 | 1.76 Bn |
| Dec 31, 2021 | 1.69 Bn |
| Sep 30, 2021 | 1.80 Bn |
Arch Capital 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=ACGL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ACGL", "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=ACGL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();