πŸ“˜ 2025 Report:Mexico Economic Review 2025 β€” outlook, charts, and sector signalsRead
    Geographic Risk IntelligenceΒ·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, 2026Β·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.

    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 ClassificationCriteriaShare of ExposedShare of Portfolio
    HIGHHQ in Jalisco, or revenue/purchase exposure above 30%14.3%11.5%
    MEDIUMJalisco exposure between 10–30%. No registered address in state.8.9%7.1%
    LOWBelow 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

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    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
    ProfileShare
    Dual β€” revenue AND purchase exposure54.3%
    Purchase only β€” supplier links, no Jalisco revenue40.0%
    Revenue only β€” Jalisco customers, no supplier ties5.7%

    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
    BucketRevenuePurchaseDifference
    >30% Critical8.6%8.8%+0.2pp
    10–30% Elevated5.8%7.5%+1.7pp
    5–10% Moderate5.6%6.4%+0.8pp
    1–5% Limited14.3%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
    DimensionWhat We AnalyzeHow It Creates RiskLevel
    RevenueShare of invoicing from Jalisco-based customersCash flow reduction β€” buyers paralyzed by Code Red operational restrictionsHIGH
    Supply ChainShare of expenses paid to Jalisco-based suppliersInput shortages and logistics disruption β€” road blockades prevent dispatchHIGH
    Operating AddressWhether registered business address is in JaliscoDirect operational paralysis β€” Code Red restricts all in-state activityHIGH
    ComplianceCJNG / FTO screening against updated OFAC and SAT blacklistsAML/PLD exposure β€” CJNG's FTO designation creates counterparty risk for connected institutionsMEDIUM
    ReputationMedia monitoring and commercial network analysisReputational risk from regional association in media and partner networksLOW
    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 AgeSignal QualityRecommended Action
    < 30 daysCurrent invoicing, payroll, and supplier payment recordsAct with confidence
    30–90 daysMostly current β€” may miss recent behavioral shiftsVerify before acting
    > 90 daysPre-dates current fiscal cycleReconnect 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.

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    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

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    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

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