Matthews International MATW Finite-Lived Intangible Assets - Expected Amortization Expense (Year One)
Finite-Lived Intangible Assets - Expected Amortization Expense (Year One) at other companies
Other financials
Where this comes from
Reported directly by Matthews International in its filing.
Tagged under the XBRL concept us-gaap:FiniteLivedIntangibleAssetsAmortizationExpenseYearFour.
The source filing: Matthews International’s 10-Q, filed August 7, 2026.
- Filed
- Aug 7, 2026, 10:11 AM EDT
- Fiscal quarter
- Q3 FY2026
- Calendar quarter
- Q2 2026
- Accession
- 0000063296-26-000076
Amortization expense on intangible assets was $2,503 and $3,474 for the three-month periods ended June 30, 2026 and 2025, respectively. Amortization expense on intangible assets was $8,143 and $16,362 for the nine months ended June 30, 2026 and 2025, respectively. The fiscal 2026 decrease in intangible amortization reflected lower amortization following the Company's fiscal 2026 and 2025 divestitures. Amortization expense is estimated to be $1,109 for the remainder of fiscal 2026, $8,756 in 2027, $7,268 in 2028, $6,589 in 2029 and $6,179 in 2030.
Item 1. Financial Statements
FAQ
- What is Matthews International's finite-lived intangible assets - expected amortization expense (year one)?
- Matthews International (MATW) reported finite-lived intangible assets - expected amortization expense (year one) of $6.18M in Q2 2026.
- How has Matthews International's finite-lived intangible assets - expected amortization expense (year one) changed year-over-year?
- Matthews International's finite-lived intangible assets - expected amortization expense (year one) increased by 6.9% year-over-year, from $5.78M to $6.18M.
- What does finite-lived intangible assets - expected amortization expense (year one) mean?
- This metric forecasts the amortization expense expected to be recognized in the upcoming fiscal year for intangible assets with finite useful lives. It provides visibility into the non-cash earnings impact of previously acquired intangible assets. Analysts use this to refine future earnings projections and cash flow models.
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