Company: TGE
Filing Date: 2025-04-11
Form Type: F-4
Source: 0001213900-25-031177
Chunk: 494

Company: Generation Essentials Group
Filing Date: 2025-04-11
Form: F-4
Chunk 494
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 of the Group. The Group does not hold any collateral over its accounts receivable. The directors of the Company assess that there has been no significant increase in credit risk or defaults, owing to the debtor’s background and their established history of payment arrangements. The Group does not hold any collateral over these balances.

|                  |     | As of December 31, |     |         |     |         |
|                  |     |               2022 |     |    2023 |     |    2024 |
|                  |     |            US$’000 |     | US$’000 |     | US$’000 |
| Not yet due      |     |              1,743 |     |   2,454 |     |   3,399 |
| Past due         |     |                    |     |         |     |         |
| – within 1 month |     |                843 |     |     595 |     |     780 |
| – 1 to 3 months  |     |                155 |     |   1,204 |     |   1,106 |
| – Over 3 months  |     |                 90 |     |   1,086 |     |   1,172 |
| Total            |     |              2,831 |     |   5,339 |     |   6,457 |

The Group has applied the lifetime ECL to measure the loss allowance and the ECL is performed on a collective basis. An impairment analysis of accounts receivable is performed at each reporting date using probability of default approach to measure expected credit losses. The probability of default and loss given default are estimated based on the Group’s assessment on credit ratings of the accounts receivable and

F-61

THE GENERATION ESSENTIALS GROUP
NOTES TO THE CONSOLIDATED FINANCIAL STATEMENTS FOR THE YEARS ENDED DECEMBER 31, 2022, 2023 AND 2024 15.ACCOUNTS RECEIVABLE (cont.) historical loss experience. The calculation reflects the probability -weightedoutcome, the time value of money and reasonable and supportable information that is available at the reporting date about past events, current conditions and forecasts of future economic conditions. The calculation of ECL considers forward looking information through the use of publicly available economic data and forecasts, including macroeconomic data such as GDP growth and unemployment rate, management judgement to reflect the qualitative factors and through the use