Mercury General (MCY) Operating Expenses (2009 - 2026)
Mercury General's Operating Expenses was $1.35 billion in Q2 2026, up 6.6% from $1.27 billion a year earlier and up 3.9% from the prior quarter.
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Analysis
Mercury General (MCY) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mercury General's Operating Expenses was $5.18 billion through Jun 30, 2026, down 2.1% year-over-year; for FY2025, it came in at $5.33 billion, up 8.7% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $4.9 billion in FY2024 (+8.2%), $4.53 billion in FY2023 (+5.0%), $4.31 billion in FY2022 (+16.8%) and $3.69 billion in FY2021 (+11.1%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses since Q1 2025.
- Compared with a year earlier, Operating Expenses was higher in six of the last eight quarters, with growth averaging 6.5%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 29.6%); the worst was Q1 2026 (a decline of 15.1%).
- Per Business Quant data, MCY's Operating Expenses in the three quarters before Q2 2026 was $1.3 billion (Q1 2026), $1.29 billion (Q4 2025) and $1.23 billion (Q3 2025).
Peer Set
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 | Mercury General | 5.47 Bn | -16.40 Bn | 708.49 Mn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.30 Bn |
| Dec 31, 2025 | 1.29 Bn |
| Sep 30, 2025 | 1.23 Bn |
| Jun 30, 2025 | 1.27 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.24 Bn |
| Sep 30, 2024 | 1.24 Bn |
| Jun 30, 2024 | 1.23 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 1.14 Bn |
| Sep 30, 2023 | 1.08 Bn |
| Jun 30, 2023 | 1.14 Bn |
| Mar 31, 2023 | 1.17 Bn |
| Dec 31, 2022 | 1.17 Bn |
| Sep 30, 2022 | 1.03 Bn |
| Jun 30, 2022 | 1.06 Bn |
| Mar 31, 2022 | 1.06 Bn |
| Dec 31, 2021 | 1.01 Bn |
| Sep 30, 2021 | 935.59 Mn |
API Access
Mercury General 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=MCY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MCY", "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=MCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();