Everest (EG) Operating Expenses (2009 - 2026)
Everest (EG) recorded Operating Expenses of $3.28 billion in Q2 2026, down 10.8% from $3.68 billion a year earlier and down 1.6% from the prior quarter.
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Analysis
Everest (EG) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Everest's Operating Expenses came in at $14.53 billion as of Jun 30, 2026, down 13.4% year-over-year; for FY2025, it came in at $15.61 billion, down 1.1% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $15.79 billion in FY2024 (+27.0%), $12.43 billion in FY2023 (+8.4%), $11.47 billion in FY2022 (+11.2%) and $10.32 billion in FY2021 (+14.5%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2023.
- On a year-over-year basis, Operating Expenses has declined for three consecutive quarters, with growth averaging 6.9% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 58.9% in Q4 2024, against a decline of 28.1% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.33 billion (Q1 2026), $3.87 billion (Q4 2025) and $4.05 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 | Everest | 14.35 Bn | -2.65 Bn | 1.79 Bn | 3.28 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.28 Bn |
| Mar 31, 2026 | 3.33 Bn |
| Dec 31, 2025 | 3.87 Bn |
| Sep 30, 2025 | 4.05 Bn |
| Jun 30, 2025 | 3.68 Bn |
| Mar 31, 2025 | 4.02 Bn |
| Dec 31, 2024 | 5.38 Bn |
| Sep 30, 2024 | 3.71 Bn |
| Jun 30, 2024 | 3.40 Bn |
| Mar 31, 2024 | 3.30 Bn |
| Dec 31, 2023 | 3.39 Bn |
| Sep 30, 2023 | 3.27 Bn |
| Jun 30, 2023 | 2.90 Bn |
| Mar 31, 2023 | 2.88 Bn |
| Dec 31, 2022 | 2.69 Bn |
| Sep 30, 2022 | 3.47 Bn |
| Jun 30, 2022 | 2.72 Bn |
| Mar 31, 2022 | 2.59 Bn |
| Dec 31, 2021 | 2.62 Bn |
| Sep 30, 2021 | 3.01 Bn |
API Access
Everest 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=EG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EG", "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=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();