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Financial Institutions FISI Data processing and equipment

Data processing and equipment at other companies

SMB
SmartFinancialSMBK
$2.44M-8.3%
HBT
HBT Financial, Inc.HBT
$11.79M+334%
CTB
Community Trust BancorpCTBI
$2.96M+3.4%
First Commonwealth Financial logo
First Commonwealth FinancialFCF
$4.18M+9.6%
FB Financial logo
FB FinancialFBK
$2.45M+6.1%
M&T Bank logo
M&T BankMTB

Other financials

Income statement

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Revenue$62.7M+9.5%
Net income$21.0M+24.3%
EPS (diluted)$1.04+28.4%

Balance sheet

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Cash & equivalents$85.5M-48.9%
Total debt$224.6M+5.7%
Total equity$631.7M+7.1%
Total assets$6.3B-0.7%

Cash flow

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Operating cash flow$23.7M+137%
CapEx$650.0K-20.3%
Free cash flow$23.0M+151%

Valuation

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Market cap$761.27M+53.9%
Enterprise value$900.46M+66.8%
P/E9.6×
P/S

Profitability

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Net margin31.5%
FCF margin33%-35.0pp

Returns & leverage

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Return on equity12.9%+10.1pp
Debt / equity0.4×0.0×

Where this comes from

Reported directly by Financial Institutions in its filing.

Tagged under the XBRL concept us-gaap:InformationTechnologyAndDataProcessing.

The official record: Financial Institutions’s 10-Q, filed May 4, 2026, on SEC EDGAR. View the filing →

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Questions, answered.

What is Financial Institutions's data processing and equipment?
Financial Institutions (FISI) reported data processing and equipment of $6.21M in Q1 2026.
How has Financial Institutions's data processing and equipment changed year-over-year?
Financial Institutions's data processing and equipment increased by 13.2% year-over-year, from $5.49M to $6.21M.
What is the long-term trend for Financial Institutions's data processing and equipment?
Over 4 years (2021 to 2025), Financial Institutions's data processing and equipment has grown at a 13.1% compound annual growth rate (CAGR), from $14.11M to $23.09M.
What does data processing and equipment mean?
This expense category covers the costs associated with maintaining core banking systems, digital platforms, and data infrastructure. It is a critical indicator of the bank's investment in technological modernization and operational scalability.