--- title: "Jalisco 2026 Geographic Exposure Report | CRiskCo" description: "How a security operation in Jalisco exposed 4 in 5 companies in monitored portfolios. CRiskCo maps revenue, supply chain, and compliance risk across 1.25M+ counterparty links." lang: en json-ld: | [ { "@context": "https://schema.org", "@type": "Report", "name": "When a Regional Disruption Becomes a National Risk", "headline": "When a Regional Disruption Becomes a National Risk", "description": "How a security operation in Jalisco exposed 4 in 5 companies in monitored portfolios. CRiskCo maps revenue, supply chain, and compliance risk across 1.25M+ counterparty links.", "datePublished": "2026-02-24", "dateModified": "2026-02-24", "author": { "@type": "Person", "name": "Erez Saf", "jobTitle": "CEO", "worksFor": { "@type": "Organization", "name": "CRiskCo" } }, "publisher": { "@type": "Organization", "name": "CRiskCo", "url": "https://criskco.com", "logo": { "@type": "ImageObject", "url": "https://criskco.com/og-image.png" } }, "inLanguage": "en", "keywords": "Jalisco risk, geographic exposure, credit risk Mexico, supply chain risk, OFAC screening, CRiskCo" }, { "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://criskco.com/" }, { "@type": "ListItem", "position": 2, "name": "Reports", "item": "https://criskco.com/blog" }, { "@type": "ListItem", "position": 3, "name": "Jalisco Exposure Report 2026", "item": "https://criskco.com/jalisco-exposure-report-2026" } ] } ] --- πŸ“˜ 2025 Report: [Mexico Economic Review 2025 β€” outlook, charts, and sector signals ](/mexico-economic-review-2025)[Read](/mexico-economic-review-2025) [![CRiskCo](/assets/criskco-logo-KYPBr-8b.png)](/en) Solutions Developers [Pricing](/en/pricing) Resources [Sign In](https://app.criskco.com)ES[Book a Demo](https://meetings.hubspot.com/israel-madrid/lead-discovery) Geographic Risk Intelligence Β· JALISCO 2026 Β· ISSUE 01 # When a Regional Disruption Becomes a National Risk On February 22, 2026, a security operation in Tapalpa, Jalisco brought a sudden and significant disruption to Mexico's second-largest commercial economy. The immediate effects β€” road blockades, suspended transportation, airport restrictions, and a statewide Code Red β€” were visible to anyone watching the news. What was less visible was the economic ripple spreading outward through hundreds of thousands of business relationships connected to Jalisco. February 24, 2026 Β· Erez Saf, CEO Β· CRiskCo 4 in 5 Portfolio Exposure Rate Companies in monitored portfolios carry a measurable economic relationship with Jalisco. 14.3% Require Immediate Review High-risk tier: HQ in Jalisco or more than 30% revenue or purchase concentration. 89.6% Outside Jalisco, Still Exposed Of all exposed companies are headquartered outside Jalisco β€” connected through commercial ties, not geography. 1.25M+ Counterparty Links Mapped Total commercial relationships analyzed across monitored portfolios. Download PDF Send Contents [01 β€” 4 in 5 Companies Carry Exposure to Jalisco's Commercial Activity](#risk-classification)[02 β€” The Crisis Map Misses 89.6% of the Story.](#geographic-reach)[03 β€” How Companies Connect to Jalisco](#exposure-profile)[04 β€” Where Exposure Becomes Vulnerability](#concentration-analysis)[05 β€” Five Dimensions. Each Captures a Different Channel of Risk.](#analytical-framework)[05b β€” An Exposure Report Is Only as Good as Its Data.](#data-quality)[06 β€” A Single Snapshot Is Not Enough.](#monitoring-recommendation)[07 β€” What to Do With This Information.](#recommended-actions) Table of Contents 01 ## 4 in 5 Companies Carry Exposure to Jalisco's Commercial Activity Within hours, we executed a full geographic exposure analysis across our monitored portfolios, spanning tens of thousands of Mexican companies across lenders, fintechs, corporates, and financial institutions nationwide. What emerged is both a precise view of immediate portfolio impact and a broader perspective on how deeply Jalisco is integrated into Mexico's national economy. The headline number is significant: four out of five companies in monitored portfolios carry measurable exposure to Jalisco. Yet the risk is not evenly distributed. Over three quarters of exposed companies fall into the low-risk tier and require only standard monitoring. The real focus belongs to the 14.3 percent that require immediate review due to headquarters location or material revenue or supplier concentration. This distinction matters. Most of the portfolio can breathe. A concentrated minority cannot. We are sharing these findings so that financial institutions, credit and compliance teams, and business leaders can understand the scale of exposure, respond with discipline rather than noise, and build stronger resilience into their portfolios. In my view, the real value is not in reacting to headlines, but in quantifying exposure early and concentrating attention where it truly belongs. HIGH 14.3% HQ in Jalisco, or revenue/purchase exposure above 30% Share of portfolio: 11.5% MEDIUM 8.9% Jalisco exposure between 10–30%. No registered address in state. Share of portfolio: 7.1% LOW 76.8% Below 10% exposure in both revenue and purchases. No Jalisco presence. Share of portfolio: 61.5% Risk Classification of Exposed Companies Risk Classification Criteria Share of Exposed Share of Portfolio HIGH HQ in Jalisco, or revenue/purchase exposure above 30% 14.3% 11.5% MEDIUM Jalisco exposure between 10–30%. No registered address in state. 8.9% 7.1% LOW Below 10% exposure in both revenue and purchases. No Jalisco presence. 76.8% 61.5% Only companies with measurable Jalisco exposure appear in tier classification. Companies with zero connection are excluded from tier analysis. ### Risk Tier Distribution - High - Medium - Low Over three-quarters of exposed companies fall in the low-risk tier and require only standard monitoring. Attention should be focused on the 14.3% that don't. 02 ## The Crisis Map Misses 89.6% of the Story. The most significant finding in our analysis is one that challenges how most institutions think about geographic risk. A map showing Jalisco in red captures only the companies physically located there. The data reveals a far larger exposed population β€” companies based in Monterrey, QuerΓ©taro, Mexico City, and every other state β€” connected to this disruption through their commercial relationships, not their addresses. 89.6% of companies with Jalisco exposure are headquartered outside the state β€” yet carry real, measurable risk through their customer and supplier networks. They are invisible on any geographic crisis map. ### HQ Location of Exposed Companies - HQ in Jalisco - HQ outside Jalisco Get the next Mexico Economic Report delivered to your inbox 2 + 6 = ? New question Subscribe 03 ## How Companies Connect to Jalisco Understanding the type of exposure matters as much as the level. Companies connected through both revenue and purchases face simultaneous pressure on income and costs. ### Exposure Profile Share - Dual - Purchase Only - Revenue Only Exposure Profile Share Profile Share Dual β€” revenue AND purchase exposure 54.3% Purchase only β€” supplier links, no Jalisco revenue 40.0% Revenue only β€” Jalisco customers, no supplier ties 5.7% Supply Chain Blind Spot 40% of exposed companies appear only through supplier data β€” invisible to any analysis using customer geography alone. Counterparty Relationship Network β€” Jalisco ↔ Rest of Mexico 89.6% HQ Outside Jalisco 567K customer links 684K supplier links ↔ 10.4% HQ in Jalisco 1.25M+ total links mapped 04 ## Where Exposure Becomes Vulnerability Not all exposure carries the same weight. A company with 2% of its revenue from Jalisco can absorb a disruption without material impact. A company with 40% cannot. The concentration distribution below shows where across the portfolio the exposure crosses from manageable to material β€” and reveals an important asymmetry: purchase concentration is more broadly distributed than revenue concentration, making supply chain dependency the less-monitored risk dimension. ### Revenue Concentration in Jalisco ### Purchase Concentration in Jalisco ### Revenue vs Purchase Concentration - Revenue - Purchase Revenue vs Purchase Concentration β€” Side by Side Bucket Revenue Purchase Difference \>30% Critical 8.6% 8.8% +0.2pp 10–30% Elevated 5.8% 7.5% +1.7pp 5–10% Moderate 5.6% 6.4% +0.8pp 1–5% Limited 14.3% 20.5% +6.2pp Key Observation Purchase concentration is more widely distributed than revenue at every level above 1%. Supply chain dependency is the undermonitored dimension β€” broader in spread, and harder to see without transaction-level data. 05 ## Five Dimensions. Each Captures a Different Channel of Risk. Geographic exposure analysis is only as good as its inputs. We measure five distinct dimensions for every company β€” combining them into the tier classification above. Each dimension captures a different mechanism through which the Jalisco disruption can affect a company's financial position, from direct operational paralysis to indirect compliance exposure. Risk Dimensions Dimension What We Analyze How It Creates Risk Level Revenue Share of invoicing from Jalisco-based customers Cash flow reduction β€” buyers paralyzed by Code Red operational restrictions HIGH Supply Chain Share of expenses paid to Jalisco-based suppliers Input shortages and logistics disruption β€” road blockades prevent dispatch HIGH Operating Address Whether registered business address is in Jalisco Direct operational paralysis β€” Code Red restricts all in-state activity HIGH Compliance CJNG / FTO screening against updated OFAC and SAT blacklists AML/PLD exposure β€” CJNG's FTO designation creates counterparty risk for connected institutions MEDIUM Reputation Media monitoring and commercial network analysis Reputational risk from regional association in media and partner networks LOW 05b ## An Exposure Report Is Only as Good as Its Data. The most accurate risk tier classification is worthless if the underlying fiscal data is stale. For any high-exposure company, the practical question is: does the data reflect what the company looks like today β€” or six months ago? ### Freshness at Event Date - < 30 days - \> 90 days Data Age and Decision Quality Data Age Signal Quality Recommended Action < 30 days Current invoicing, payroll, and supplier payment records Act with confidence 30–90 days Mostly current β€” may miss recent behavioral shifts Verify before acting \> 90 days Pre-dates current fiscal cycle Reconnect first Priority Action For all High-tier companies where data is older than 30 days: reconnect before making any credit or compliance decision. Stale data changes the risk picture in ways that aren't visible until it's too late. Get the next Mexico Economic Report delivered to your inbox 4 + 5 = ? New question Subscribe 06 ## A Single Snapshot Is Not Enough. The economic effects of a disruption like this don't resolve in a day or a week. They follow a recognizable pattern across three horizons. 30 Days ### Transaction Monitoring First data-driven read on whether the disruption caused lasting damage or a temporary dip. Basis for near-term credit and compliance decisions. - Invoicing volume - Supplier payments - Collections status - Payroll continuity 3 Months ### Structural Shift Detection Behavioral changes become visible in fiscal data at this horizon. When portfolio adjustments can be made with confidence. - Sourcing diversification - High-tier deterioration - Revenue pattern shift 6 Months ### Portfolio Health Benchmark Full before-and-after benchmark against pre-event baselines. The right moment to update concentration thresholds and risk frameworks. - Pre/post baseline - Recovery vs residual stress - Model recalibration 07 ## What to Do With This Information. The right response depends on how you engage with the affected companies β€” as a compliance and third-party risk function, or as a lender. Both start from the same place: a tiered view of your portfolio. ### Compliance & Third-Party Risk Strengthen Screening and Supply Chain Resilience - Re-screen Jalisco-based suppliers against updated OFAC and SAT blacklists - Review payment patterns to Jalisco counterparties over the past 60 days - Assess force majeure provisions in key Jalisco supplier contracts - Document the exposure assessment to strengthen audit readiness - Map top Jalisco-dependent supply relationships and identify alternatives The CJNG's FTO designation by U.S. authorities in 2025 creates a regulatory dimension for every institution with direct or indirect Jalisco-linked counterparties. Proactive screening now is preferable to regulatory remediation later. ### Credit Risk & Lending Prioritize Proactive Outreach and Portfolio Visibility - Segment your portfolio by High, Medium, and Low Jalisco exposure tier - Prioritize outreach to High-tier companies with >30% Jalisco concentration - Review covenant headroom for credits dependent on Jalisco customer collections - Increase monitoring cadence for Medium-tier companies with supplier dependency - Document your methodology for risk committee and regulatory reporting The 54.3% of exposed companies with dual exposure β€” both revenue and purchase concentration β€” face simultaneous pressure on both sides of their income statement. These are the highest-priority companies for proactive dialogue. Get the next Mexico Economic Report delivered to your inbox 1 + 5 = ? New question Subscribe ## About CRiskCo CRiskCo provides real-time fiscal analysis, counterparty monitoring, and geographic exposure intelligence across client portfolios of SME and mid-market companies in Mexico. This analysis was drawn from anonymized, aggregated data across our clients' portfolios. criskco.com Legal Disclaimer For informational purposes only. Does not constitute financial or legal advice. All company-level data has been anonymized and aggregated. Β© 2026 CRiskCo ### Get the next Mexico Economic Report delivered to your inbox Real data, independent analysis. Be the first to receive our reports. 3 + 3 = ? New question Subscribe [![CRiskCo](/assets/criskco-logo-KYPBr-8b.png)](/en) Risk and compliance intelligence for Mexico. We connect multi-source regulatory data for reliable enterprise decisions. 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