Everest (EG) Restructuring Costs (2016 - 2026)
Everest (EG) posted Restructuring Costs of $33 million for Q2 2026, up 6.5% from $31 million a year earlier but down 13.2% from the prior quarter.
Everest (EG) Restructuring Costs (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Everest was $128 million, up 24.3% year-over-year; for FY2025, it was $109 million, up 14.7% from FY2024.
- Annual Restructuring Costs has increased for three consecutive years, with a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- In prior years, Everest's Restructuring Costs was $95 million in FY2024 (+30.1%), $73 million in FY2023 (+19.7%), $61 million in FY2022 (-10.3%) and $68 million in FY2021 (+65.9%).
- Quarterly Restructuring Costs has run from a low of $14 million in Q1 2022 to a high of $38 million in Q1 2026 over five years.
- On a year-over-year basis, Restructuring Costs has increased in each of the last five quarters, with growth averaging 27.9% over the last eight quarters.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q4 2021, with growth of 86.2%; the weakest was Q4 2022, with a decline of 27.3%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $38 million (Q1 2026), $30 million (Q4 2025) and $27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn |
| 2 | Chubb | 127.81 Bn | 79.86 Bn | 9.13 Bn |
| 3 | Progressive | 121.79 Bn | 97.63 Bn | 9.04 Bn |
| 4 | Marsh & Mclennan Companies | 80.80 Bn | 72.54 Bn | - |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn |
| 6 | Manulife Financial | 74.06 Bn | 75.27 Bn | - |
| 7 | Metlife | 61.12 Bn | -45.36 Bn | 7.82 Bn |
| 8 | Arthur J. Gallagher | 58.82 Bn | 53.25 Bn | - |
| 9 | Allstate | 57.81 Bn | 19.06 Bn | 8.73 Bn |
| 10 | Everest | 14.35 Bn | -2.65 Bn | 1.79 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.00 Mn |
| Mar 31, 2026 | 38.00 Mn |
| Dec 31, 2025 | 30.00 Mn |
| Sep 30, 2025 | 27.00 Mn |
| Jun 30, 2025 | 31.00 Mn |
| Mar 31, 2025 | 21.00 Mn |
| Dec 31, 2024 | 26.00 Mn |
| Sep 30, 2024 | 25.00 Mn |
| Jun 30, 2024 | 22.00 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 18.00 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jun 30, 2023 | 17.00 Mn |
| Mar 31, 2023 | 19.00 Mn |
| Dec 31, 2022 | 16.00 Mn |
| Sep 30, 2022 | 16.00 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Mar 31, 2022 | 14.00 Mn |
| Dec 31, 2021 | 22.00 Mn |
| Sep 30, 2021 | 18.00 Mn |
Everest Restructuring Costs 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=restructuring-costs&ticker=EG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();