Orrstown Financial Services (ORRF) Provision for Losses (2010 - 2026)
Orrstown Financial Services (ORRF) recorded Provision for Losses of $338,000 in Q2 2026, up 61.7% from $209,000 a year earlier but down 53.6% from the prior quarter.
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Analysis
Orrstown Financial Services (ORRF) Provision for Losses (2010 - 2026) Analysis & Trends
On a TTM basis, Orrstown Financial Services' Provision for Losses came in at $1.54 million as of Jun 30, 2026, down 90.3% year-over-year; for FY2025, it was $126,000, down 99.3% from FY2024.
- Annual Provision for Losses has a five-year compound annual growth rate of -52.7% (FY2020 to FY2025).
- Across earlier years, Provision for Losses came in at $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%).
- Quarterly Provision for Losses has ranged from -$554,000 in Q1 2025 to $14.12 million in Q3 2024 over the past five years.
- On a year-over-year basis, Provision for Losses rose in two of the last five quarters, with growth averaging 37.3%.
- Peak year-over-year performance for Provision for Losses in the last five years was growth of 392.8% in Q4 2024, against a decline of 97.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $728,000 (Q1 2026), $75,000 (Q4 2025) and $396,000 (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 | Orrstown Financial Services | 856.82 Mn | 856.82 Mn | - | 338,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 365,000.00 |
API Access
Orrstown 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=ORRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-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-losses&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();