Eagle Financial Services (EFSI) Technology and Communications (2010 - 2026)
Eagle Financial Services (EFSI) recorded Technology and Communications of $422,000 in Q2 2026, up 29.8% from $325,000 a year earlier and up 19.2% from the prior quarter.
Eagle Financial Services (EFSI) Technology and Communications (2010 - 2026) Analysis & Trends
On a TTM basis, Eagle Financial Services' Technology and Communications came in at $1.54 million as of Jun 30, 2026, up 26.0% year-over-year; for FY2025, it came in at $1.37 million, up 28.2% from FY2024.
- Annual Technology and Communications has a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Across earlier years, Technology and Communications came in at $1.07 million in FY2024 (-21.5%), $1.36 million in FY2023 (+41.7%), $960,000 in FY2022 (-3.6%) and $996,000 in FY2021 (+46.7%).
- The Q2 2026 figure is the highest quarterly Technology and Communications in data going back to Q2 2010.
- On a year-over-year basis, Technology and Communications rose in six of the last eight quarters, with growth averaging 19.1%.
- Peak year-over-year performance for Technology and Communications in the last five years was growth of 72.1% in Q3 2025, against a decline of 42.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $354,000 (Q1 2026), $373,000 (Q4 2025) and $389,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Technology (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.34 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 2.01 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1.30 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 674.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Eagle Financial Services | 247.33 Mn | 247.33 Mn | - | 422,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 422,000.00 |
| Mar 31, 2026 | 354,000.00 |
| Dec 31, 2025 | 373,000.00 |
| Sep 30, 2025 | 389,000.00 |
| Jun 30, 2025 | 325,000.00 |
| Mar 31, 2025 | 282,000.00 |
| Dec 31, 2024 | 388,000.00 |
| Sep 30, 2024 | 226,000.00 |
| Jun 30, 2024 | 221,000.00 |
| Mar 31, 2024 | 233,000.00 |
| Dec 31, 2023 | 373,000.00 |
| Sep 30, 2023 | 396,000.00 |
| Jun 30, 2023 | 281,000.00 |
| Mar 31, 2023 | 310,000.00 |
| Dec 31, 2022 | 270,000.00 |
| Sep 30, 2022 | 252,000.00 |
| Jun 30, 2022 | 184,000.00 |
| Mar 31, 2022 | 254,000.00 |
| Dec 31, 2021 | 244,000.00 |
| Sep 30, 2021 | 282,000.00 |
Eagle Financial Services Technology and Communications 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=technology-and-communications&ticker=EFSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "technology-and-communications", "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=technology-and-communications&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();