Mercury General (MCY) Other Operating Expenses (2009 - 2026)
Mercury General (MCY) recorded Other Operating Expenses of $122.92 million in Q2 2026, up 28.0% from $96.03 million a year earlier but down 0.8% from the prior quarter.
Mercury General (MCY) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Mercury General's Other Operating Expenses came in at $465.55 million as of Jun 30, 2026, up 35.4% year-over-year; for FY2025, it was $394.23 million, up 20.5% from FY2024.
- Annual Other Operating Expenses has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $327.16 million in FY2024 (+17.0%), $279.66 million in FY2023 (unchanged), $279.72 million in FY2022 (-1.3%) and $283.4 million in FY2021 (-0.9%).
- Quarterly Other Operating Expenses has ranged from $66.67 million in Q4 2021 to $123.89 million in Q1 2026 over the past five years.
- On a year-over-year basis, Other Operating Expenses has increased for 12 consecutive quarters, with growth averaging 25.3% over the last eight quarters.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 55.9% in Q1 2026, against a decline of 14.5% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $123.89 million (Q1 2026), $110.23 million (Q4 2025) and $108.52 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,073.91 Bn | -343.57 Bn | 55.86 Bn |
| 2 | Chubb | 125.44 Bn | 77.50 Bn | 9.13 Bn |
| 3 | Progressive | 120.54 Bn | 96.37 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 81.59 Bn | 73.34 Bn | - |
| 5 | Travelers Companies | 74.40 Bn | 50.64 Bn | 6.23 Bn |
| 6 | Manulife Financial | 72.53 Bn | 73.74 Bn | - |
| 7 | Metlife | 60.06 Bn | -46.42 Bn | 7.82 Bn |
| 8 | Aon | 58.71 Bn | 51.95 Bn | - |
| 9 | Arthur J. Gallagher | 58.49 Bn | 52.93 Bn | - |
| 10 | Mercury General | 5.47 Bn | -16.40 Bn | 708.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.92 Mn |
| Mar 31, 2026 | 123.89 Mn |
| Dec 31, 2025 | 110.23 Mn |
| Sep 30, 2025 | 108.52 Mn |
| Jun 30, 2025 | 96.03 Mn |
| Mar 31, 2025 | 79.45 Mn |
| Dec 31, 2024 | 81.51 Mn |
| Sep 30, 2024 | 86.86 Mn |
| Jun 30, 2024 | 81.70 Mn |
| Mar 31, 2024 | 77.09 Mn |
| Dec 31, 2023 | 72.43 Mn |
| Sep 30, 2023 | 69.19 Mn |
| Jun 30, 2023 | 68.34 Mn |
| Mar 31, 2023 | 69.69 Mn |
| Dec 31, 2022 | 71.41 Mn |
| Sep 30, 2022 | 68.59 Mn |
| Jun 30, 2022 | 69.43 Mn |
| Mar 31, 2022 | 70.29 Mn |
| Dec 31, 2021 | 66.67 Mn |
| Sep 30, 2021 | 80.24 Mn |
Mercury General Other 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=other-operating-expenses&ticker=MCY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MCY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();