Filing Flows › Orrstown Financial Services (ORRF) › Guidance & outlook
Orrstown Financial Services (ORRF) guidance and outlook
Orrstown Financial Services' 10-Q filed Nov 9, 2026 makes 15 forward-looking statements.
Guidance and outlook
Forward-looking statements, 10-Q filed Nov 9, 2026
- Determining the ACL inherently involves a high degree of subjectivity and requires the Company to make significant estimates of current credit risks and trends, all of which may undergo material changes, including expected probabilities of default, expected loss given default, the timing of expected future cash flows including the impact from unexpected changes in prepayment speeds, estimated losses based on…
- The probability of default estimates are derived through the application of reasonable and supportable economic forecasts to the regression models, which incorporates the Company's and peer loss-rate data, unemployment rate and GDP and can be obtained from the Federal Reserve Economic Database.
- Management incorporates the national unemployment rate and GDP as the drivers of the quantitative portion of collectively evaluated reserves on loan classes reliant upon the DCF methodology, primarily as a result of high correlation coefficients identified in regression modeling, which represents a significant judgment in determining the ACL; however, changes in the macroeconomic forecast could significantly…
- The provision expense for the three months ended September 30, 2026 was due to loan growth of $95.3 million, net charge-offs and updates to our qualitative factors, partially offset by favorable GDP forecast and macroeconomic conditions.
- The provision expense for the three months ended September 30, 2026 was due to loan growth of $187.7 million, net charge-offs and updates to our qualitative factors, partially offset by favorable GDP forecast and macroeconomic conditions.
- In addition, management assesses whether it is likely the Company will have to sell the investment security prior to recovery, or it expects to be able to hold the investment security until the price recovers.
- The Company does not intend to sell these securities with unrealized losses and it is more likely than not that the Company will not be required to sell them before recovery of their amortized cost basis, which may be maturity.
- The Company maintains the ACL at a level deemed adequate by management for expected credit losses.
- Management evaluates the adequacy of the ACL utilizing a defined methodology to determine if it properly addresses the current and expected risks in the loan portfolio, which considers the performance of borrowers and specific evaluation of individually evaluated loans, including historical loss experiences, trends in delinquencies, nonperforming loans and other risk assets, and the qualitative factors.
- Management believes its approach properly addresses relevant accounting and bank regulatory guidance for loans both collectively and individually evaluated.
- Management believes these enhancements to the ACL methodology improve the accuracy of quantifying the expected credit losses inherent in the portfolio.
- Future adjustments to the ACL and enhancements to the methodology may be necessary due to changes in economic conditions, regulatory guidance, or management’s assumptions as to future delinquencies or loss rates.
Orrstown Financial Services' latest quarter
Orrstown Financial Services, Q3 2026: revenue $66.7M (+4% year over year), operating margin 42.5%, net earnings $22.8M, operating cash flow −$3.3M. The chart follows the revenue to costs, profit and cash.
Questions
What does Orrstown Financial Services expect?
Determining the ACL inherently involves a high degree of subjectivity and requires the Company to make significant estimates of current credit risks and trends, all of which may undergo material changes, including expected probabilities of default, expected loss given default, the timing of expected future cash flows including the impact from unexpected changes in prepayment speeds, estimated losses based on… The probability of default estimates are derived through the application of reasonable and supportable economic forecasts to the regression models, which incorporates the Company's and pe
Updated Nov 9, 2026. Read automatically from SEC filings and public data; errors are possible. Not investment advice.