Eagle Financial Services (EFSI) Price to Earnings (2010 - 2026)
Eagle Financial Services' (EFSI) quarterly Price to Earnings came in at 45.04 in Q2 2026, up 44.2% on a YoY basis from 31.24 in Q2 2025, and down 11.02% quarter-over-quarter from 50.62 in Q1 2026.
Eagle Financial Services (EFSI) Price to Earnings (2010 - 2026) Analysis & Trends
Eagle Financial Services (EFSI) has reported Price to Earnings for 17 consecutive years, with 45.04 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 44.2% year-over-year to 45.04; the trailing twelve-month figure through Jun 2026 stood at 12.28 (down 44.08% YoY), and the FY2025 full-year result was 27.55, up 216.72% from the prior year.
- Price to Earnings slipped to 45.04 in Q2 2026 per EFSI's latest filing, from 50.62 in the prior quarter.
- Across five years, Price to Earnings topped out at 119.22 in Q4 2023 and bottomed at 25.29 in Q1 2025.
- Historically, Price to Earnings has averaged 41.15 across 5 years, with a median of 39.8 in 2022.
- The sharpest annual moves came in 2025 and 2026: Price to Earnings sank 160.68% in 2025, then jumped 300.17% in 2026.
- Over 5 years, Price to Earnings stood at 47.6 in 2022, then surged by 150.47% to 119.22 in 2023, then slumped by 81.23% to 22.37 in 2024, then soared by 141.36% to 54.0 in 2025, then slipped by 16.58% to 45.04 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 45.04, 50.62, and 54.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Banco Santander Chile | 439.96 Bn | 559.90 Bn | - |
| 2 | Truist Financial | 58.71 Bn | 58.71 Bn | - |
| 3 | Fifth Third Bancorp | 47.86 Bn | 24.13 Bn | - |
| 4 | M&T Bank | 32.26 Bn | 32.26 Bn | - |
| 5 | Huntington Bancshares | 31.70 Bn | 27.21 Bn | - |
| 6 | Citizens Financial | 27.67 Bn | 27.67 Bn | - |
| 7 | Regions Financial | 23.78 Bn | 23.85 Bn | - |
| 8 | Keycorp | 21.85 Bn | -25.84 Bn | - |
| 9 | First Citizens Bancshares | 21.48 Bn | 20.95 Bn | 29.00 Mn |
| 10 | Eagle Financial Services | 250.72 Mn | 106.73 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.04 |
| Mar 31, 2026 | 50.62 |
| Dec 31, 2025 | 54.00 |
| Sep 30, 2025 | 36.42 |
| Jun 30, 2025 | 31.24 |
| Mar 31, 2025 | -25.29 |
| Dec 31, 2024 | 22.37 |
| Sep 30, 2024 | 33.59 |
| Jun 30, 2024 | 36.84 |
| Mar 31, 2024 | 41.67 |
| Dec 31, 2023 | 119.22 |
| Sep 30, 2023 | 48.43 |
| Jun 30, 2023 | 52.29 |
| Mar 31, 2023 | 46.28 |
| Dec 31, 2022 | 47.60 |
| Sep 30, 2022 | 31.57 |
| Jun 30, 2022 | 30.91 |
| Mar 31, 2022 | 37.93 |
| Dec 31, 2021 | 141.47 |
| Sep 30, 2021 | 41.06 |
Eagle Financial Services Price to Earnings 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=price-to-earnings&ticker=EFSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "ticker": "EFSI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-earnings&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();