Orrstown Financial Services (ORRF) Provisions (2010 - 2026)
Orrstown Financial Services' Provisions came in at $338,000 for Q2 2026, up 61.7% from $209,000 a year earlier but down 53.6% from the prior quarter.
Orrstown Financial Services (ORRF) Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orrstown Financial Services reported Provisions of $1.54 million, down 90.3% year-over-year; for FY2025, it was $126,000, down 99.3% from FY2024.
- Provisions carries a five-year compound annual growth rate of -52.7% (FY2020 to FY2025).
- Going back by year, Provisions 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 five-year range for quarterly Provisions is -$554,000 (Q1 2025) to $14.12 million (Q3 2024).
- Year-over-year, Provisions increased in two of the last five quarters, with growth averaging 37.3%.
- The fastest year-over-year change in Provisions 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 Provisions at $728,000 (Q1 2026), $75,000 (Q4 2025) and $396,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 914.00 Mn |
| 10 | Orrstown Financial Services | 815.90 Mn | 815.90 Mn | - | 338,000.00 |
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 |
Orrstown Financial Services Provisions 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=provisions&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();