Everest (EG) Acquisitions (2009 - 2026)
Everest's Acquisitions came in at $101 million for Q3 2026, down 1.9% from $103 million a year earlier and down 19.8% from the prior quarter.
Everest (EG) Acquisitions (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Everest reported Acquisitions of $426 million, down 52.9% 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 five consecutive quarters, with an average decline of 18.6% 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 $126 million (Q2 2026), $98 million (Q1 2026) and $101 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Chubb | 140.29 Bn | 85.93 Bn | 8.67 Bn | - |
| 2 | Progressive | 132.20 Bn | 107.72 Bn | 8.29 Bn | - |
| 3 | Marsh & Mclennan Companies | 96.60 Bn | 88.76 Bn | - | 134.00 Mn |
| 4 | Travelers Companies | 82.11 Bn | 59.60 Bn | 5.93 Bn | - |
| 5 | Manulife Financial | 75.43 Bn | 8.45 Bn | - | - |
| 6 | Arthur J. Gallagher | 71.09 Bn | 65.68 Bn | - | 496.00 Mn |
| 7 | Aon | 70.49 Bn | 49.69 Bn | - | 5.00 Mn |
| 8 | Metlife | 65.52 Bn | -41.26 Bn | 7.82 Bn | - |
| 9 | Allstate | 64.49 Bn | 24.33 Bn | 7.41 Bn | 261.00 Mn |
| 10 | Everest | 15.54 Bn | -71.36 Mn | 1.28 Bn | 101.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.00 Mn |
| 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 |
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_KEY
import 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();