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EnerSys ENS EMEA — Total operating earnings (2)
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Where this comes from
Reported directly by EnerSys in its filing.
Tagged under the XBRL concept ens:OperatingIncomeLossAdjusted.
The source filing: EnerSys’s 10-K, filed May 20, 2026.
- Filed
- May 20, 2026, 4:17 PM EDT
- Fiscal year
- FY2026
- Accession
- 0001628280-26-036900
| Line item | Twelve months ended / March 31, 2026 / Energy Systems | Twelve months ended / March 31, 2026 / Motive Power | Twelve months ended / March 31, 2026 / Specialty | Twelve months ended / March 31, 2026 / Corporate and other (3) | Total |
|---|---|---|---|---|---|
| (Gain) loss on assets held for sale | — | (1,187) | — | (1,187) | |
| Impairment of intangible assets | 402 | — | — | 402 | |
| Amortization of intangible assets | 23,354 | 492 | 9,596 | 33,442 | |
| Accelerated stock compensation | 5,383 | 3,532 | 1,844 | 10,759 | |
| Other | 7,468 | 3,844 | 5,729 | 17,041 | |
| Total operating earnings (2) | $85,365 | $166,928 | $41,445 | $132,722 | $426,460 |
| Depreciation | $31,207 | $27,092 | $21,717 | $100 | $80,116 |
| Capital Expenditures | $33,429 | $21,046 | $23,526 | $2,073 | $80,074 |
ITEM 8. FINANCIAL STATEMENTS AND SUPPLEMENTARY DATA
FAQ
- What is EnerSys's EMEA — total operating earnings (2)?
- EnerSys (ENS) reported EMEA — total operating earnings (2) of $45.93M in Q1 2026.
- How has EnerSys's EMEA — total operating earnings (2) changed year-over-year?
- EnerSys's EMEA — total operating earnings (2) decreased by 20.8% year-over-year, from $57.97M to $45.93M.
- What is the long-term trend for EnerSys's EMEA — total operating earnings (2)?
- Over 3 years (2023 to 2026), EnerSys's EMEA — total operating earnings (2) has grown at a 0.4% compound annual growth rate (CAGR), from $165.15M to $166.93M.
- What does EMEA — total operating earnings (2) mean?
- This is the adjusted operating profit for the segment, calculated by removing non-recurring or non-operational items from the GAAP operating income. It serves as the primary measure of the segment's core operational performance and profitability. By normalizing for one-time events, it allows for a more accurate comparison of performance across different periods.
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