Company: AMKR
Filing Date: 2025-07-29
Form Type: 10-Q
Source: 0001047127-25-000168
Chunk: 160

Company: AMKOR TECHNOLOGY, INC.
Filing Date: 2025-07-29
Form: 10-Q
Item: Part I, Item 8
Chunk 160
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 hedging instruments resulted in a net loss of $19.1 million and $46.6 million, respectively, which were nearly offset by the foreign currency gains associated with the underlying net liabilities.

For the three and six months ended June 30, 2025, a gain of $1.3 million and $2.7 million, respectively, was recognized in other (income) expense, net of the difference between the forward rate and the spot rate of the net investment hedge.  For the three and six months ended June 30, 2025, a loss of $4.1 million and $8.9 million, respectively, was recognized in other comprehensive income (loss) for the changes in fair value of the net investment hedges.  For the three and six months ended June 30, 2024, a gain of $1.1 million was recognized in other (income) expense, net of the difference between the forward rate and the spot rate of the net investment hedge.  For the three and six months ended June 30, 2024, a gain of $3.1 million was recognized in other comprehensive income (loss) for the changes in fair value of the net investment hedges. 

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Table of ContentsAMKOR TECHNOLOGY, INC.NOTES TO CONSOLIDATED FINANCIAL STATEMENTS — (Continued)(Unaudited)

14.    Fair Value Measurements 

The accounting framework for determining fair value includes a hierarchy for ranking the quality and reliability of the information used to measure fair value, which enables the reader of the financial statements to assess the inputs used to develop those measurements.  The fair value hierarchy consists of three tiers as follows: Level 1, defined as quoted market prices in active markets for identical assets or liabilities; Level 2, defined as inputs other than Level 1 that are observable, either directly or indirectly, such as quoted prices for similar assets or liabilities, quoted prices in markets that are not active, model-based valuation techniques for which all significant assumptions are observable in the market or other inputs that are observable or can be corroborated by observable market data for substantially the full term of the assets or liabilities; and Level 3, defined as unobservable inputs that are not corroborated by market data.  For our Level 2 short-term investments, we consider factors such as actual trade data, benchmark yields, broker/dealer quotes, and other similar data obtained from quoted market prices and independent pricing vendors to determine the fair value