Everest (EG) Acquisitions (2009 - 2026)
Everest's Acquisitions came in at $126 million for Q2 2026, down 37.0% from $200 million a year earlier but up 28.6% from the prior quarter.
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Analysis
Everest (EG) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Everest reported Acquisitions of $428 million, down 53.7% year-over-year; for FY2025, it came in at $507 million, down 45.8% from FY2024.
- Acquisitions carries a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by year, Acquisitions was $936 million in FY2024 (+3.8%), $902 million in FY2023 (-41.7%), $1.55 billion in FY2022 (+104.4%) and $757 million in FY2021 (+35.9%).
- The five-year range for quarterly Acquisitions is $56 million (Q2 2023) to $1.09 billion (Q4 2022).
- Year-over-year, Acquisitions has declined for four consecutive quarters, with an average decline of 18.3% over the last eight quarters.
- The fastest year-over-year change in Acquisitions over five years came in Q4 2022 (growth of 613.7%), and the weakest in Q4 2025 (a decline of 79.7%).
- Business Quant data shows EG's Acquisitions at $98 million (Q1 2026), $101 million (Q4 2025) and $103 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.69 Bn | -333.79 Bn | 55.86 Bn | 14.00 Mn |
| 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 | - | 88.00 Mn |
| 5 | Travelers Companies | 75.76 Bn | 52.01 Bn | 6.23 Bn | 10.00 Mn |
| 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 | 357.00 Mn |
| 10 | Everest | 14.35 Bn | -2.65 Bn | 1.79 Bn | 126.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.00 Mn |
| Mar 31, 2026 | 98.00 Mn |
| Dec 31, 2025 | 101.00 Mn |
| Sep 30, 2025 | 103.00 Mn |
| Jun 30, 2025 | 200.00 Mn |
| Mar 31, 2025 | 103.00 Mn |
| Dec 31, 2024 | 498.00 Mn |
| Sep 30, 2024 | 124.00 Mn |
| Jun 30, 2024 | 176.00 Mn |
| Mar 31, 2024 | 138.00 Mn |
| Dec 31, 2023 | 480.00 Mn |
| Sep 30, 2023 | 124.00 Mn |
| Jun 30, 2023 | 56.00 Mn |
| Mar 31, 2023 | 242.00 Mn |
| Dec 31, 2022 | 1.09 Bn |
| Sep 30, 2022 | 147.00 Mn |
| Jun 30, 2022 | 171.00 Mn |
| Mar 31, 2022 | 137.00 Mn |
| Dec 31, 2021 | 153.00 Mn |
| Sep 30, 2021 | 294.31 Mn |
API Access
Everest Acquisitions 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=acquisitions&ticker=EG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=EG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();