Microsoft Word - DMIT FINANCIAL STATEMENTS 2025-Final draft.

Dar Al-Maal Al-Islami Trust NOTES TO THE CONSOLIDATED FINANCIAL STATEMENTS For the year ended 31 December 2025 in thousands of USD 22 3. Significant accounting judgements and estimates (continued) Impairment assessment of financial contracts subject to credit risk (continued) Measurement of ECL (continued) • Financial assets that are credit-impaired at the reporting date: as the difference between the gross carrying amount and the present value of estimated future cash flows; • Undrawn financing commitment: as the present value of the difference between the contractual cash flows that are due to the Group if the commitment is drawn and the cash flows that the Group expects to receive • Financial guarantee contracts: the expected payments to reimburse the holder less any amounts that the Group expects to recover. The Group measures an ECL at an individual instrument level taking into account the projected cash flows, probability of default, loss given default, credit conversion factor (CCF) and discount rate. For portfolios wherein instrument level information is not available, the Group carries out ECL estimation on a collective basis. The key inputs into the measurement of ECL are the term structure of the following variables: i Probability of default (PD); ii Loss given default (LGD); iii Exposure at default (EAD). These parameters are generally derived from internally developed statistical models and other historical data. They are adjusted to reflect forward- looking information as described above. PD estimates are estimates at a certain date, which are calculated based on statistical rating models, and assessed using rating tools tailored to the various categories of counterparties and exposures. These statistical models are based on internally compiled data comprising both quantitative and qualitative factors. If a counterparty or exposure migrates between ratings classes, then this will lead to a change in the estimate of the associated PD. LGD is the magnitude of the likely loss if there is a default. In case of non-availability of recovery data, the Group uses LGD estimate based on market practice. EAD represents the expected exposure in the event of a default. The Group derives the EAD from the current exposure to the counterparty and potential changes to the current amount allowed under the contract including amortization. The EAD of a financial asset is its gross carrying amount. For lending commitments and financial guarantees, the EAD includes the amount currently outstanding. The period of exposure limits the period over which possible defaults are considered and thus affects the determination of PDs and measurement of ECLs (especially for Stage 2 accounts with lifetime ECL). Subject to using a maximum of a 12-month PD for financial assets for which credit risk has not significantly increased, the Group measures ECL considering the risk of default over the maximum contractual period over which it is exposed to credit risk, even if, for risk management purposes, the Group considers a longer period. The maximum contractual period extends to the date at which the Group has the right to require repayment of an advance or terminate a loan commitment or guarantee. Incorporation of forward looking information The Group incorporates forward-looking information into both its assessment of whether the credit risk of an instrument has increased significantly since its initial recognition and its measurement of ECL. The Group annually source macro-economic forecast data from the International Monetary Fund (IMF) and Economist Intelligence Unit (EIU) database for the relevant exposure country. Management judgement is exercised when assessing the macroeconomic variables. The macro-economic variables used for PD modelling include, among others, GDP, Inflation and Domestic Credit Growth. Generating the term structure of PD Credit risk grades and days past due (DPD) are primary inputs into the determination of the term structure of PD for exposures. The Group collects performance and default information about its credit risk exposures analyzed by type of borrower, days past due and as well as by credit risk grading.