Eagle Financial Services (EFSI) Provision for Credit Losses (2009 - 2026)
Eagle Financial Services (EFSI) reported Provision for Credit Losses of $1.05 million for Q3 2026, down 7.2% from $1.13 million a year earlier and down 70.0% from the prior quarter.
Eagle Financial Services (EFSI) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Eagle Financial Services' Provision for Credit Losses came in at $7.27 million, up 112.0% year-over-year; for FY2025, it came in at $3.88 million, up 52.1% from FY2024.
- Provision for Credit Losses has a five-year compound annual growth rate of 21.6% (FY2020 to FY2025).
- By year, Provision for Credit Losses came in at $2.55 million in FY2024 (+54.7%), $1.65 million in FY2023 (-9.9%), $1.83 million in FY2022 (+23.4%) and $1.48 million in FY2021 (+1.8%).
- Five-year quarterly Provision for Credit Losses spans a low of $210,000 in Q4 2024 and a high of $3.5 million in Q2 2026.
- Year over year, Provision for Credit Losses gained in five of the last eight quarters, with growth averaging 111.5%.
- The high point for year-over-year Provision for Credit Losses in five years was Q3 2024 (growth of 608.3%); the low point was Q4 2023 (a decline of 67.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $3.5 million (Q2 2026), $1.97 million (Q1 2026) and $747,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 838.45 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 1.24 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 103.00 Mn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 717.20 Mn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Eagle Financial Services | 248.41 Mn | -131.07 Mn | - | 1.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.26 Mn |
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 1.97 Mn |
| Dec 31, 2025 | 747,000.00 |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 856,000.00 |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 210,000.00 |
| Sep 30, 2024 | 1.54 Mn |
| Jun 30, 2024 | 314,000.00 |
| Mar 31, 2024 | 475,000.00 |
| Dec 31, 2023 | 304,000.00 |
| Sep 30, 2023 | 218,000.00 |
| Jun 30, 2023 | 410,000.00 |
| Mar 31, 2023 | 709,000.00 |
| Dec 31, 2022 | 930,000.00 |
| Jun 30, 2022 | 360,000.00 |
| Mar 31, 2022 | 540,000.00 |
| Dec 31, 2021 | 300,000.00 |
| Sep 30, 2021 | 300,000.00 |
Eagle Financial Services Provision for Credit Losses 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=provision-for-credit-losses&ticker=EFSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "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=provision-for-credit-losses&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();