Eagle Financial Services (EFSI) Provision for Losses (2010 - 2026)
Eagle Financial Services (EFSI) posted Provision for Losses of $3.5 million for Q2 2026, up 424.4% from $668,000 a year earlier and up 78.6% from the prior quarter.
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Analysis
Eagle Financial Services (EFSI) Provision for Losses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Provision for Losses at Eagle Financial Services was $7.16 million, up 95.6% year-over-year; for FY2025, it came in at $3.7 million, up 45.1% from FY2024.
- Annual Provision for Losses shows a five-year compound annual growth rate of 20.5% (FY2020 to FY2025).
- In prior years, Eagle Financial Services' Provision for Losses was $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%).
- The Q2 2026 figure stands as the highest quarterly Provision for Losses in data going back to Q2 2010.
- On a year-over-year basis, Provision for Losses has increased in each of the last three quarters, with growth averaging 180.2% over the last eight quarters.
- The strongest year-over-year quarter for Provision for Losses in the past five years was Q3 2024, with growth of 606.5%; the weakest was Q4 2023, with a decline of 60.6%.
- According to Business Quant data, Provision for Losses for the three prior quarters was $1.96 million (Q1 2026), $568,000 (Q4 2025) and $1.13 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Eagle Financial Services | 247.33 Mn | 247.33 Mn | - | 3.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.50 Mn |
| Mar 31, 2026 | 1.96 Mn |
| Dec 31, 2025 | 568,000.00 |
| Sep 30, 2025 | 1.13 Mn |
| Jun 30, 2025 | 668,000.00 |
| Mar 31, 2025 | 1.23 Mn |
| Dec 31, 2024 | 236,000.00 |
| Sep 30, 2024 | 1.53 Mn |
| Jun 30, 2024 | 314,000.00 |
| Mar 31, 2024 | 475,000.00 |
| Dec 31, 2023 | 366,000.00 |
| Sep 30, 2023 | 216,000.00 |
| Jun 30, 2023 | 403,000.00 |
| Mar 31, 2023 | 664,000.00 |
| 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 |
| Jun 30, 2021 | 284,000.00 |
API Access
Eagle Financial Services Provision for 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-losses&ticker=EFSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=EFSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();