Orrstown Financial Services (ORRF) Provision for Credit Losses (2009 - 2026)
Orrstown Financial Services' Provision for Credit Losses came in at $1.13 million for Q3 2026, up 184.3% from $396,000 a year earlier and up 233.1% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Provision for Credit Losses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Orrstown Financial Services reported Provision for Credit Losses of $2.27 million, up 7.4% year-over-year; for FY2025, it was $126,000, down 99.3% from FY2024.
- Provision for Credit Losses carries a five-year compound annual growth rate of -52.7% (FY2020 to FY2025).
- Going back by year, Provision for Credit Losses was $17.41 million in FY2024 (+935.0%), $1.68 million in FY2023 (-59.6%), $4.16 million in FY2022 (+281.7%) and $1.09 million in FY2021 (-79.5%).
- The Q3 2026 figure represents the highest quarterly Provision for Credit Losses since Q4 2024.
- Year-over-year, Provision for Credit Losses increased in three of the last six quarters, with growth averaging 61.8%.
- The fastest year-over-year change in Provision for Credit Losses over five years came in Q4 2024 (growth of 392.8%), and the weakest in Q3 2025 (a decline of 97.2%).
- Business Quant data shows ORRF's Provision for Credit Losses at $338,000 (Q2 2026), $728,000 (Q1 2026) and $75,000 (Q4 2025) in the three quarters before Q3 2026.
Peer Set
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 | Orrstown Financial Services | 871.80 Mn | 290.40 Mn | - | 1.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.13 Mn |
| Jun 30, 2026 | 338,000.00 |
| Mar 31, 2026 | 728,000.00 |
| Dec 31, 2025 | 75,000.00 |
| Sep 30, 2025 | 396,000.00 |
| Jun 30, 2025 | 209,000.00 |
| Mar 31, 2025 | -554,000.00 |
| Dec 31, 2024 | 2.06 Mn |
| Sep 30, 2024 | 14.12 Mn |
| Jun 30, 2024 | 812,000.00 |
| Mar 31, 2024 | 421,000.00 |
| Dec 31, 2023 | 418,000.00 |
| Sep 30, 2023 | 136,000.00 |
| Jun 30, 2023 | 399,000.00 |
| Mar 31, 2023 | 729,000.00 |
| Dec 31, 2022 | 585,000.00 |
| Sep 30, 2022 | 1.50 Mn |
| Jun 30, 2022 | 1.78 Mn |
| Mar 31, 2022 | 300,000.00 |
| Dec 31, 2021 | 1.10 Mn |
API Access
Orrstown 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=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-credit-losses", "ticker": "ORRF", "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=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();