Orrstown Financial Services (ORRF) Loans - Loss Allowance (2010 - 2026)
Orrstown Financial Services (ORRF) reported Loans - Loss Allowance of $46.63 million for Q2 2026, down 2.6% from $47.9 million a year earlier and down 1.8% from the prior quarter.
Orrstown Financial Services (ORRF) Loans - Loss Allowance (2010 - 2026) Analysis & Trends
At the end of FY2025, Orrstown Financial Services posted Loans - Loss Allowance of $47.68 million, down 2.1% from FY2024.
- Loans - Loss Allowance has a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- By year, Loans - Loss Allowance came in at $48.69 million in FY2024 (+69.6%), $28.7 million in FY2023 (+14.0%), $25.18 million in FY2022 (+18.9%) and $21.18 million in FY2021 (+5.1%).
- The Q2 2026 figure ranks as the lowest quarterly Loans - Loss Allowance since Q2 2024.
- Year over year, Loans - Loss Allowance has now declined in each of the last four quarters, with growth averaging 32.6% over the last eight quarters.
- The high point for year-over-year Loans - Loss Allowance in five years was Q3 2024 (growth of 75.5%); the low point was Q3 2025 (a decline of 3.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $47.46 million (Q1 2026), $47.68 million (Q4 2025) and $48.11 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Loans - Loss Allowance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 26.15 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | 347,603.00 |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 13.11 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | -5.33 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | -331.64 Mn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.91 Bn |
| 10 | Orrstown Financial Services | 803.90 Mn | 803.90 Mn | - | 46.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.63 Mn |
| Mar 31, 2026 | 47.46 Mn |
| Dec 31, 2025 | 47.68 Mn |
| Sep 30, 2025 | 48.11 Mn |
| Jun 30, 2025 | 47.90 Mn |
| Mar 31, 2025 | 47.80 Mn |
| Dec 31, 2024 | 48.69 Mn |
| Sep 30, 2024 | 49.63 Mn |
| Jun 30, 2024 | 29.86 Mn |
| Mar 31, 2024 | 29.17 Mn |
| Dec 31, 2023 | 28.70 Mn |
| Sep 30, 2023 | 28.28 Mn |
| Jun 30, 2023 | 28.38 Mn |
| Mar 31, 2023 | 28.36 Mn |
| Dec 31, 2022 | 25.18 Mn |
| Sep 30, 2022 | 24.71 Mn |
| Jun 30, 2022 | 23.28 Mn |
| Mar 31, 2022 | 21.51 Mn |
| Dec 31, 2021 | 21.18 Mn |
| Sep 30, 2021 | 19.97 Mn |
Orrstown Financial Services Loans - Loss Allowance 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=loans-loss-allowance&ticker=ORRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-loss-allowance", "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=loans-loss-allowance&ticker=ORRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();