{"id":1183,"date":"2026-04-23T05:00:06","date_gmt":"2026-04-23T05:00:06","guid":{"rendered":"https:\/\/banking.deepdigitalventures.com\/blog\/?p=1183"},"modified":"2026-04-24T08:08:23","modified_gmt":"2026-04-24T08:08:23","slug":"bank-fee-income-quality-peer-screen-one-time-noise","status":"publish","type":"post","link":"https:\/\/banking.deepdigitalventures.com\/blog\/bank-fee-income-quality-peer-screen-one-time-noise\/","title":{"rendered":"Bank Fee Income Quality: A Peer Screen That Filters Out One-Time Noise"},"content":{"rendered":"<p>Fee income quality is the difference between repeatable customer-linked revenue and noninterest income that looks strong only because of a sale gain, recovery, valuation move, or vague &quot;other&quot; item. This screen is for the moment when a bank&#8217;s fee line looks unusually high and you need to decide whether it belongs in a peer memo, sponsor-bank shortlist, or follow-up diligence queue.<\/p><p><strong>Methodology note:<\/strong> Source schedules and public-agency materials were checked as of 2026-04-23. The screen uses public Call Report data from the FFIEC Central Data Repository<sup>[1]<\/sup> and the December 2025 Call Report forms and instructions<sup>[2]<\/sup>; verify current filings before citing results in a credit memo or investor document.<\/p><p>This peer-screen framework uses public regulatory data in <a href='https:\/\/banking.deepdigitalventures.com\/'>Banking Intelligence<\/a> to separate durable noninterest income from one-time or volatile signals. It is not a substitute for reading the Call Report instructions, a public-company filing, or an enforcement order. It is a fast way to decide which banks deserve deeper review.<\/p><h2 class=\"wp-block-heading\">Answer-first summary<\/h2><p>A first-pass fee-income quality candidate has noninterest income equal to at least 2.0% of assets and absolute year-over-year noninterest income change below 35.0%. Those are internal Banking Intelligence screening benchmarks, not regulatory standards. The 2.0% floor is high enough to isolate banks where fees are material to the business model, while the 35.0% volatility cap is wide enough to keep growing fee businesses in the review set but low enough to flag obvious one-period noise.<\/p><ul class=\"wp-block-list\"><li><strong>What the screen does:<\/strong> identifies banks where fee income is large, reasonably stable, and worth comparing against a defined peer cohort.<\/li><li><strong>What the screen filters out:<\/strong> sudden spikes that may come from loan-sale gains, OREO or asset-sale gains, legal recoveries, valuation changes, or unexplained other income.<\/li><li><strong>What the screen does not do:<\/strong> prove that a bank is a good sponsor, a good credit, or a good investment without a second-step review of business mix, controls, funding, credit, and capital.<\/li><\/ul><h2 class=\"wp-block-heading\">Methodology and field map<\/h2><p>The starting source is the bank Call Report. The exact form labels belong in the methodology, not every sentence of the analysis, because the business question is simple: how much of the bank&#8217;s revenue comes from repeatable fees, and how much could disappear next quarter?<\/p><figure class='wp-block-table'><table><thead><tr><th>Input<\/th><th>Public filing field<\/th><th>How it is used<\/th><\/tr><\/thead><tbody><tr><td>Total noninterest income<\/td><td>Schedule RI, item 5.m<\/td><td>Main fee-income numerator and year-over-year stability measure.<\/td><\/tr><tr><td>Average assets<\/td><td>Schedule RC-K, where available<\/td><td>Main denominator for fee income\/assets and ROA calculations.<\/td><\/tr><tr><td>Fallback asset denominator<\/td><td>Simple average of current and prior period-end total assets from Schedule RC when RC-K is unavailable<\/td><td>Used only as a flagged fallback so peer comparisons do not mix exact and approximate denominators without review.<\/td><\/tr><tr><td>Other noninterest income detail<\/td><td>Schedule RI-E itemization when other noninterest income is material<\/td><td>Noise check for named items behind a vague &quot;other&quot; category.<\/td><\/tr><tr><td>Noninterest expense<\/td><td>Schedule RI, item 7.e<\/td><td>Operating leverage check, because a fee spike can mask an expense problem for one period.<\/td><\/tr><\/tbody><\/table><\/figure><p>Under the December 2025 FFIEC 031 form, total noninterest income includes fiduciary income, deposit service charges, trading revenue, securities and insurance income, servicing fees, securitization income, gains on sales of loans and leases, gains on other real estate owned, gains on other assets, and other noninterest income. That same total can therefore mix stable customer activity with items that may not repeat.<\/p><p>Schedule RI-E is useful because it requires itemization and descriptions for certain large other noninterest income amounts. The public form uses a $100,000 and 7% materiality test tied to the other noninterest income line. That threshold does not decide quality by itself, but it tells the analyst where to look when &quot;other&quot; is doing too much work.<\/p><h2 class=\"wp-block-heading\">Define the peer set before screening<\/h2><p>A peer screen only works if the peer group is narrow enough to make the comparison meaningful. Banking Intelligence groups banks first by asset size, then checks charter or regulator, geography, and business model. A $3 billion community bank, a $9 billion card bank, a trust-heavy national bank, and a banking-as-a-service sponsor should not be treated as interchangeable just because each has high fee income.<\/p><ul class=\"wp-block-list\"><li><strong>Asset size:<\/strong> compare banks inside practical size bands, such as $1 billion to $5 billion, $5 billion to $10 billion, $10 billion to $50 billion, and larger institutions, then tighten the band when enough peers exist.<\/li><li><strong>Geography:<\/strong> compare community and commercial banks against similar regional markets when deposits, local loan mix, or fee practices are market-dependent.<\/li><li><strong>Charter and business model:<\/strong> separate trust banks, card banks, mortgage-heavy banks, treasury-management banks, and sponsor banks before calling a fee ratio unusual.<\/li><li><strong>Specialty cohorts:<\/strong> if the specialty group is small, keep the bank in manual review rather than ranking it against a broad community-bank universe.<\/li><\/ul><p>The <a href='https:\/\/banking.deepdigitalventures.com\/'>Banking Intelligence peer comparison view<\/a> is useful after the first pass because it lets the analyst compare size, geography, charter, and business-model context before treating any fee-income ratio as superior.<\/p><h2 class=\"wp-block-heading\">A practical fee-income screen<\/h2><p>A useful screen starts with four public-data checks. First, calculate fee intensity as noninterest income divided by average assets. Second, measure year-over-year stability in the same fee line. Third, compare fee growth with expense growth, because a revenue spike can make an expense problem look smaller. Fourth, read the components behind the total and separate recurring fee activity from event-timed gains.<\/p><figure class='wp-block-table'><table><thead><tr><th>Screen question<\/th><th>Pass<\/th><th>Manual review<\/th><th>Exclude from quality screen<\/th><\/tr><\/thead><tbody><tr><td>Fee intensity<\/td><td>Noninterest income\/assets is 2.0% or higher.<\/td><td>Between 1.0% and 2.0% if the bank has a clear fee business such as trust, card, treasury management, payments, or sponsor-bank programs.<\/td><td>Below 1.0%, unless the purpose is to find emerging fee businesses rather than established ones.<\/td><\/tr><tr><td>Stability<\/td><td>Absolute year-over-year change is below 10.0%.<\/td><td>Absolute year-over-year change is 10.0% to 35.0%.<\/td><td>Absolute year-over-year change is above 35.0%, unless the change is explained by a merger or clear business expansion.<\/td><\/tr><tr><td>Business mix<\/td><td>Recurring categories such as fiduciary, deposit, card, servicing, payments, or treasury-related fees carry the total.<\/td><td>Recurring categories are mixed with gains on loans, OREO, other assets, or large &quot;other&quot; items.<\/td><td>Most of the increase appears to come from a sale gain, legal recovery, valuation change, or unexplained other noninterest income.<\/td><\/tr><tr><td>Peer fit<\/td><td>The bank is compared with institutions that share size, charter, geography, and business-model traits.<\/td><td>The bank has a specialty model and needs a smaller manual cohort.<\/td><td>The bank is being compared with an overly broad universe that makes the fee ratio misleading.<\/td><\/tr><\/tbody><\/table><\/figure><p>A high fee-income ratio with stable year-over-year change is more useful than a sudden spike. In practice, a 2.7% fee\/assets bank with a 0.4% year-over-year change gets a different follow-up question than a 2.7% fee\/assets bank with a 32.3% change. The first question is &#8216;what recurring business produces this?&#8217; The second is &#8216;what changed, and can it repeat?&#8217;<\/p><h2 class=\"wp-block-heading\">Example candidates for follow-up<\/h2><p>Using 2025 year-end public data, a basic Banking Intelligence screen for banks with fee\/assets above 2.0% and less than 35.0% absolute year-over-year volatility surfaced the following candidates. This is not a ranking. It is an illustrative review set of U.S. banks roughly between $2.5 billion and $35 billion in assets, with specialty models flagged so they are compared with the right cohort before anyone calls the fee stream durable.<\/p><figure class='wp-block-table'><table><thead><tr><th>Bank<\/th><th>State<\/th><th>Assets<\/th><th>Fee income \/ assets<\/th><th>YoY fee change<\/th><th>ROA<\/th><th>Illustrative read<\/th><\/tr><\/thead><tbody><tr><td>PlainsCapital Bank<\/td><td>TX<\/td><td>$12.7B<\/td><td>2.77%<\/td><td>+0.4%<\/td><td>1.05%<\/td><td>High fee intensity with very low volatility; review the recurring business mix before comparing it with other Texas and similarly sized commercial banks.<\/td><\/tr><tr><td>Barrington Bank &amp; Trust Company, N.A.<\/td><td>IL<\/td><td>$4.8B<\/td><td>2.75%<\/td><td>+7.0%<\/td><td>1.04%<\/td><td>Stable enough for the pass set, but trust and wealth-related activity should be compared with banks that have similar relationship businesses.<\/td><\/tr><tr><td>Merrick Bank<\/td><td>UT<\/td><td>$9.3B<\/td><td>2.74%<\/td><td>+32.3%<\/td><td>1.16%<\/td><td>Still inside the volatility cap, but close enough to require manual review of the source of the increase.<\/td><\/tr><tr><td>BNY Mellon, National Association<\/td><td>PA<\/td><td>$31.3B<\/td><td>2.68%<\/td><td>-0.1%<\/td><td>0.94%<\/td><td>Stable fee profile, but it belongs in a trust, custody, and institutional-services context rather than a plain community-bank cohort.<\/td><\/tr><tr><td>Celtic Bank<\/td><td>UT<\/td><td>$4.8B<\/td><td>2.45%<\/td><td>+0.5%<\/td><td>4.12%<\/td><td>Strong profitability and stable fees make it worth review, with sponsor, SBA, and program-management controls checked separately.<\/td><\/tr><tr><td>Cedar Rapids Bank and Trust Company<\/td><td>IA<\/td><td>$2.9B<\/td><td>2.43%<\/td><td>-4.5%<\/td><td>2.83%<\/td><td>Stable fee income and strong ROA make it a useful community-bank comparison point inside a regional commercial-bank cohort.<\/td><\/tr><\/tbody><\/table><\/figure><p>The table is a starting queue, not a conclusion. PlainsCapital Bank passes the first stability gate because the fee\/assets ratio is 2.77% and the year-over-year change is +0.4%. Merrick Bank also remains in the candidate set, but the +32.3% change is close to the 35.0% screen limit, so it should be tagged for manual review before anyone calls the fee stream durable.<\/p><p>The next step is institution-level confirmation. Use FDIC BankFind Suite API documentation<sup>[5]<\/sup> or the Federal Reserve National Information Center<sup>[6]<\/sup> to confirm the institution, then use the <a href='https:\/\/banking.deepdigitalventures.com\/'>Banking Intelligence peer comparison view<\/a> to compare the bank against peers with similar size, charter, geography, and business model.<\/p><h2 class=\"wp-block-heading\">What higher-quality fee income looks like<\/h2><p>Higher-quality fee income is usually recurring, customer-linked, and explainable from the bank&#8217;s model. Fiduciary and wealth income can fit a trust or advisory model. Deposit service charges can fit a deposit-heavy community bank, though the analyst should separate recurring account fees from overdraft exposure where detail is available. Securities brokerage, advisory, underwriting, annuity, and insurance income can fit a bank with a real wealth, brokerage, or insurance business.<\/p><p>Some recurring activity may sit inside other noninterest income. Public itemization examples include check printing income, ATM fees, bank card and credit card interchange fees, and income and fees from wire transfers not reported as deposit service charges. Those examples matter because interchange and wire fees can be repeatable, while a vague &quot;other&quot; increase can hide a one-time item until the analyst reads the explanation.<\/p><p>Lower-quality or harder-to-understand fee income usually sits closer to event timing. Net gains or losses on loan sales, sales of other real estate owned, and sales of other assets can be real earnings, but they are not the same as relationship fees. A bank that sells a pool of loans can report a strong quarter without proving that its customer fee engine improved.<\/p><p>For sponsor-bank diligence, the quality question is also a controls question. If fee income depends on fintech program management, embedded banking, card issuing, or payment flows, the revenue should be reviewed beside the June 2023 interagency third-party risk guidance<sup>[3]<\/sup>, which covers planning, due diligence, contract negotiation, ongoing monitoring, and termination. Stable fee income is less attractive if the bank must add compliance staff, monitoring systems, restitution, or contract restrictions to keep the program running.<\/p><h2 class=\"wp-block-heading\">How to filter out one-time noise<\/h2><ol class=\"wp-block-list\"><li>Pull at least eight quarters of total noninterest income from the FFIEC CDR<sup>[1]<\/sup> or the <a href='https:\/\/banking.deepdigitalventures.com\/'>Banking Intelligence public-data context view<\/a>. A three-period view can catch a spike, but eight quarters is better for seasonality.<\/li><li>Split the total into recurring categories and event-timed categories before calculating a quality score.<\/li><li>Open the itemized &quot;other&quot; detail when it is material. Named interchange, wire, or card items deserve a different question than a legal recovery, valuation adjustment, or unexplained miscellaneous increase.<\/li><li>Compare fee growth to noninterest expense growth. If both increased 30%, the fee line may not have improved operating leverage.<\/li><li>Check whether the bank belongs in the same peer cohort after the first pass. Trust banks, card banks, sponsor banks, and mortgage-heavy banks should usually be reviewed separately.<\/li><li>Move banks near the 35.0% volatility cap into manual review, even if they technically pass the screen.<\/li><\/ol><p>The practical workflow is simple. Start with fee\/assets and year-over-year stability. Keep banks that clear the 2.0% and 35.0% gates. Move banks near the volatility cap into manual review. Then read the fee components, itemized other income, expenses, and peer context before deciding whether the fee stream deserves credit in a memo.<\/p><h2 class=\"wp-block-heading\">Second-step risk check<\/h2><p>Risk checks should support the fee-income screen, not overwhelm it. A fee-rich bank can still be a weak partner if credit, funding, capital, third-party controls, or enforcement history contradict the revenue story. Treat these checks as the second step after the fee line has earned deeper review.<\/p><ul class=\"wp-block-list\"><li>For fintech or embedded-banking fee streams, compare the program to the June 2023 interagency third-party risk guidance<sup>[3]<\/sup>.<\/li><li>For CRE-heavy banks, use the December 2006 interagency CRE concentration guidance<sup>[4]<\/sup> as context. The 300% total CRE and 100% construction, land development, and other land loan thresholds are supervisory tripwires, not automatic failure lines.<\/li><li>Search FDIC, OCC, and Federal Reserve enforcement pages<sup>[7]<\/sup><sup>[8]<\/sup><sup>[9]<\/sup> before finalizing a sponsor-bank or credit view, especially if the order could affect the same business line that produces the fees.<\/li><li>Review credit, deposits, capital, and allowance trends only after the fee screen says the bank belongs in the follow-up set.<\/li><\/ul><h2 class=\"wp-block-heading\">The practical rule<\/h2><p>Advance a bank only when three things are true: the filings show a clear recurring fee source, the year-over-year change is stable enough to survive peer comparison, and the second-step risk check does not contradict the revenue story.<\/p><p>Use this rule for the next screen: a bank with fee income\/assets above 2.0%, year-over-year noninterest income volatility below 35.0%, no large unexplained other-income item, and no conflicting risk flag deserves a deeper business-model review. A bank that fails any one of those tests may still be interesting, but the fee line should be treated as an open diligence item, not as evidence of durable earnings.<\/p><h2 class=\"wp-block-heading\">FAQ<\/h2><h3 class=\"wp-block-heading\">Is high fee income good for a bank?<\/h3><p>It can be, but only after the components are reviewed. Fiduciary income, deposit service charges, interchange, servicing, and treasury-related fees usually deserve a different quality score than gains on sales of loans, OREO, or other assets.<\/p><h3 class=\"wp-block-heading\">How do you screen fee income quality from public data?<\/h3><p>Start with noninterest income divided by average assets, then compare year-over-year change, fee component mix, itemized other-income explanations, expense growth, peer cohort, and second-step risk flags.<\/p><h3 class=\"wp-block-heading\">Why compare fee income against peers?<\/h3><p>Peer comparison helps separate a real business-model advantage from a metric that only looks high because the bank has an unusual charter, specialty lending model, trust business, card program, sponsor-bank program, or one-time gain.<\/p><h3 class=\"wp-block-heading\">Can fee income hide credit or compliance risk?<\/h3><p>Yes. A bank with strong noninterest income can still have weak asset quality, thin capital, volatile deposits, CRE concentration, or third-party risk issues. That is why the screen should move from fee quality into a focused second-step risk check before the bank is treated as durable.<\/p><h2 class=\"wp-block-heading\">Sources<\/h2><ol class=\"wp-block-list\"><li>FFIEC Central Data Repository public bulk data &#8211; https:\/\/cdr.ffiec.gov\/public\/PWS\/DownloadBulkData.aspx<\/li><li>FDIC December 2025 Call Report forms, instructions, and related materials &#8211; https:\/\/www.fdic.gov\/bank-financial-reports\/december-2025-call-report-forms-instructions-and-related-materials<\/li><li>Interagency Guidance on Third-Party Relationships: Risk Management, issued June 6, 2023 &#8211; https:\/\/www.fdic.gov\/news\/financial-institution-letters\/2023\/fil23029.html<\/li><li>Interagency CRE Concentration Guidance, December 2006 &#8211; https:\/\/www.fdic.gov\/news\/financial-institution-letters\/2006\/fil06104.html<\/li><li>FDIC BankFind Suite API documentation &#8211; https:\/\/api.fdic.gov\/banks\/docs<\/li><li>Federal Reserve National Information Center &#8211; https:\/\/www.ffiec.gov\/NPW<\/li><li>FDIC enforcement orders database &#8211; https:\/\/orders.fdic.gov\/s\/<\/li><li>OCC enforcement actions &#8211; https:\/\/www.occ.gov\/topics\/laws-and-regulations\/enforcement-actions\/index-enforcement-actions.html<\/li><li>Federal Reserve enforcement actions &#8211; https:\/\/www.federalreserve.gov\/supervisionreg\/enforcementactions.htm<\/li><\/ol>","protected":false},"excerpt":{"rendered":"<p>Fee income quality is the difference between repeatable customer-linked revenue and noninterest income that looks strong only because of a sale gain, recovery, valuation move, or vague &quot;other&quot; item. This screen is for the moment when a bank&#8217;s fee line looks unusually high and you need to decide whether it belongs in a peer memo, [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":1885,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"Bank Fee Income Quality: Peer Screen for One-Time Noise","_seopress_titles_desc":"Use a peer screen to test bank fee income quality, define cohorts, filter one-time noise, and flag when public data needs manual review.","_seopress_robots_index":"","footnotes":""},"categories":[12],"tags":[],"class_list":["post-1183","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry-analysis"],"_links":{"self":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/1183","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/comments?post=1183"}],"version-history":[{"count":5,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/1183\/revisions"}],"predecessor-version":[{"id":2032,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/posts\/1183\/revisions\/2032"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/media\/1885"}],"wp:attachment":[{"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/media?parent=1183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/categories?post=1183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/banking.deepdigitalventures.com\/blog\/wp-json\/wp\/v2\/tags?post=1183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}