{"product_id":"credit-card-loan-portfolio-by-bank-in-latin-america","title":"CREDIT CARD LOAN PORTFOLIO BY BANK IN LATIN AMERICA","description":"\u003cp data-start=\"293\" data-end=\"507\"\u003e\u003cstrong\u003eDECEMBER 2025 EXCEL DATABASE INSTANT DOWNLOAD\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul data-start=\"1207\" data-end=\"1307\"\u003e\n\u003cli data-section-id=\"1tlbm52\" data-start=\"1207\" data-end=\"1253\"\u003e\u003cstrong data-start=\"1209\" data-end=\"1251\"\u003eFREE SAMPLE REPORT = structure only (NO data)\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-section-id=\"1tlbm52\" data-start=\"1207\" data-end=\"1253\"\u003e\u003cstrong data-start=\"1209\" data-end=\"1251\"\u003eFREE OVERVIEW = Key findings\u003c\/strong\u003e\u003c\/li\u003e\n\u003cli data-section-id=\"fvqkft\" data-start=\"1254\" data-end=\"1307\"\u003e\u003cstrong data-start=\"1256\" data-end=\"1305\"\u003ePREMIUM REPORT = full data (complete dataset)\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1309\" data-end=\"1401\"\u003eIf you are looking for the \u003cstrong data-start=\"1336\" data-end=\"1367\"\u003eactual numbers and rankings\u003c\/strong\u003e, you need the \u003cstrong data-start=\"1382\" data-end=\"1400\"\u003ePremium Report\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp data-start=\"293\" data-end=\"507\"\u003eThis dataset provides a comprehensive view of the \u003cstrong data-start=\"343\" data-end=\"397\"\u003ecredit card lending landscape across Latin America\u003c\/strong\u003e, focusing on the \u003cstrong data-start=\"415\" data-end=\"456\"\u003eoutstanding balances (loan portfolio)\u003c\/strong\u003e held by banks in each country as of December 2025.\u003c\/p\u003e\n\u003cp data-start=\"509\" data-end=\"901\"\u003eCredit card loans represent a core segment of consumer finance, consisting of \u003cstrong data-start=\"587\" data-end=\"686\"\u003erevolving, unsecured credit exposures recorded as outstanding balances on banks’ balance sheets\u003c\/strong\u003e \u003cspan class=\"\" data-state=\"closed\"\u003e\u003c\/span\u003e. This report captures the \u003cstrong data-start=\"751\" data-end=\"780\"\u003estock of credit card debt\u003c\/strong\u003e across the region, enabling precise benchmarking of market size, competitive positioning, and institutional performance.\u003c\/p\u003e\n\u003cp data-start=\"903\" data-end=\"1159\"\u003eDesigned for financial institutions, investors, consultants, and industry analysts, this Excel dataset delivers a \u003cstrong data-start=\"1017\" data-end=\"1091\"\u003estandardized and comparable framework across 18 Latin American markets\u003c\/strong\u003e, supporting both strategic analysis and commercial decision-making.\u003c\/p\u003e\n\u003chr data-start=\"1161\" data-end=\"1164\"\u003e\n\u003ch3 data-section-id=\"kfg4c1\" data-start=\"1166\" data-end=\"1195\"\u003eWhat’s inside the dataset\u003c\/h3\u003e\n\u003cp data-start=\"1197\" data-end=\"1354\"\u003eThe file is structured to provide both \u003cstrong data-start=\"1236\" data-end=\"1262\"\u003eregional comparability\u003c\/strong\u003e and \u003cstrong data-start=\"1267\" data-end=\"1290\"\u003ecountry-level depth\u003c\/strong\u003e, combining market sizing, rankings, and performance indicators.\u003c\/p\u003e\n\u003cp data-start=\"1356\" data-end=\"1499\"\u003e\u003cstrong data-start=\"1356\" data-end=\"1381\"\u003eSources \u0026amp; Definitions\u003c\/strong\u003e\u003cbr data-start=\"1381\" data-end=\"1384\"\u003eDetailed methodological notes, data sources, and harmonized definitions to ensure consistency across jurisdictions.\u003c\/p\u003e\n\u003cp data-start=\"1501\" data-end=\"1584\"\u003e\u003cstrong data-start=\"1501\" data-end=\"1517\"\u003eTerms of Use\u003c\/strong\u003e\u003cbr data-start=\"1517\" data-end=\"1520\"\u003eClear usage guidelines for internal and commercial applications.\u003c\/p\u003e\n\u003chr data-start=\"1586\" data-end=\"1589\"\u003e\n\u003ch3 data-section-id=\"b2nqsi\" data-start=\"1591\" data-end=\"1608\"\u003eBenchmarkings\u003c\/h3\u003e\n\u003cp data-start=\"1610\" data-end=\"1720\"\u003eA cross-country analytical framework designed to assess the relative development and structure of each market:\u003c\/p\u003e\n\u003cul data-start=\"1722\" data-end=\"1849\"\u003e\n\u003cli data-section-id=\"1f7agx1\" data-start=\"1722\" data-end=\"1756\"\u003eIndustry benchmarks by country\u003c\/li\u003e\n\u003cli data-section-id=\"19s2a5l\" data-start=\"1757\" data-end=\"1790\"\u003eIndustry performance overview\u003c\/li\u003e\n\u003cli data-section-id=\"1tkrxch\" data-start=\"1791\" data-end=\"1823\"\u003eNumber of players by country\u003c\/li\u003e\n\u003cli data-section-id=\"klz95m\" data-start=\"1824\" data-end=\"1849\"\u003eLeading Players Index\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"1851\" data-end=\"1854\"\u003e\n\u003ch3 data-section-id=\"8xcwoe\" data-start=\"1856\" data-end=\"1874\"\u003eMarket Monitor\u003c\/h3\u003e\n\u003cp data-start=\"1876\" data-end=\"1946\"\u003eA complete sizing of the credit card loan market across Latin America:\u003c\/p\u003e\n\u003cul data-start=\"1948\" data-end=\"2058\"\u003e\n\u003cli data-section-id=\"1pu44nl\" data-start=\"1948\" data-end=\"1991\"\u003eMarket size by country (local currency)\u003c\/li\u003e\n\u003cli data-section-id=\"1nlfeex\" data-start=\"1992\" data-end=\"2024\"\u003eMarket size by country (USD)\u003c\/li\u003e\n\u003cli data-section-id=\"1kqk6yn\" data-start=\"2025\" data-end=\"2058\"\u003eMarket share distribution (%)\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"2060\" data-end=\"2063\"\u003e\n\u003ch3 data-section-id=\"1xajswx\" data-start=\"2065\" data-end=\"2093\"\u003eRankings \u0026amp; Benchmarkings\u003c\/h3\u003e\n\u003cp data-start=\"2095\" data-end=\"2220\"\u003eA detailed breakdown of \u003cstrong data-start=\"2119\" data-end=\"2158\"\u003ecredit card loan portfolios by bank\u003c\/strong\u003e, allowing precise competitive positioning within each market.\u003c\/p\u003e\n\u003chr data-start=\"2222\" data-end=\"2225\"\u003e\n\u003ch3 data-section-id=\"n5qwpr\" data-start=\"2227\" data-end=\"2262\"\u003ePerformance Analysis by Country\u003c\/h3\u003e\n\u003cp data-start=\"2264\" data-end=\"2297\"\u003eIndividual country tabs covering:\u003c\/p\u003e\n\u003cp data-start=\"2299\" data-end=\"2485\"\u003eArgentina, Bolivia, Brazil, Chile, Colombia, Costa Rica, Ecuador, El Salvador, Guatemala, Honduras, Mexico, Nicaragua, Panama, Paraguay, Peru, Dominican Republic, Uruguay, and Venezuela.\u003c\/p\u003e\n\u003cp data-start=\"2487\" data-end=\"2650\"\u003eEach country includes \u003cstrong data-start=\"2509\" data-end=\"2564\"\u003ebank-level data on credit card outstanding balances\u003c\/strong\u003e, enabling granular analysis of market concentration, scale, and competitive dynamics.\u003c\/p\u003e\n\u003chr data-start=\"2652\" data-end=\"2655\"\u003e\n\u003ch3 data-section-id=\"lgy9y6\" data-start=\"2657\" data-end=\"2682\"\u003eLatin America Ranking\u003c\/h3\u003e\n\u003cp data-start=\"2684\" data-end=\"2726\"\u003eA regional consolidation ranking banks by:\u003c\/p\u003e\n\u003cul data-start=\"2728\" data-end=\"2768\"\u003e\n\u003cli data-section-id=\"32i86q\" data-start=\"2728\" data-end=\"2768\"\u003e\u003cstrong data-start=\"2730\" data-end=\"2766\"\u003eCredit Card Loans (USD millions)\u003c\/strong\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"2770\" data-end=\"2921\"\u003eThis section allows quick identification of the \u003cstrong data-start=\"2818\" data-end=\"2866\"\u003elargest credit card lenders in Latin America\u003c\/strong\u003e, supporting regional benchmarking and peer comparison.\u003c\/p\u003e\n\u003chr data-start=\"2923\" data-end=\"2926\"\u003e\n\u003ch3 data-section-id=\"1cge4b9\" data-start=\"2928\" data-end=\"2945\"\u003eKey use cases\u003c\/h3\u003e\n\u003cp data-start=\"2947\" data-end=\"2989\"\u003eThis dataset is particularly valuable for:\u003c\/p\u003e\n\u003cul data-start=\"2991\" data-end=\"3313\"\u003e\n\u003cli data-section-id=\"1bwclam\" data-start=\"2991\" data-end=\"3053\"\u003eBenchmarking banks’ exposure to unsecured consumer lending\u003c\/li\u003e\n\u003cli data-section-id=\"pk99j5\" data-start=\"3054\" data-end=\"3117\"\u003eAnalyzing credit card portfolio growth and market structure\u003c\/li\u003e\n\u003cli data-section-id=\"1dhy4u9\" data-start=\"3118\" data-end=\"3185\"\u003eIdentifying leading issuers and competitive dynamics by country\u003c\/li\u003e\n\u003cli data-section-id=\"rcq033\" data-start=\"3186\" data-end=\"3252\"\u003eSupporting market entry, M\u0026amp;A screening, and strategic planning\u003c\/li\u003e\n\u003cli data-section-id=\"1f6dd5h\" data-start=\"3253\" data-end=\"3313\"\u003eEnhancing financial models with consistent regional data\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003chr data-start=\"3315\" data-end=\"3318\"\u003e\n\u003ch3 data-section-id=\"d1jt1h\" data-start=\"3320\" data-end=\"3330\"\u003eFormat and Download Options\u003c\/h3\u003e\n\u003cul data-start=\"3332\" data-end=\"3420\"\u003e\n\u003cli data-section-id=\"gxyb2n\" data-start=\"3332\" data-end=\"3349\"\u003eExcel (.xlsx)\u003c\/li\u003e\n\u003cli data-section-id=\"74h5ot\" data-start=\"3350\" data-end=\"3372\"\u003eImmediate download\u003c\/li\u003e\n\u003cli data-section-id=\"155jxxg\" data-start=\"3373\" data-end=\"3420\"\u003eStandardized structure across all countries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"265\" data-end=\"348\"\u003eThis product is available in \u003cstrong data-start=\"294\" data-end=\"320\"\u003etwo different versions\u003c\/strong\u003e. They are \u003cstrong data-start=\"331\" data-end=\"347\"\u003eNOT the same\u003c\/strong\u003e:\u003c\/p\u003e\n\u003ch3 data-section-id=\"k4mt6w\" data-start=\"350\" data-end=\"394\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"354\" data-end=\"394\"\u003e1. Free Sample Report (Preview File)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp data-start=\"396\" data-end=\"443\"\u003eThis is a \u003cstrong data-start=\"406\" data-end=\"419\"\u003efree file\u003c\/strong\u003e that allows you to see:\u003c\/p\u003e\n\u003cul data-start=\"444\" data-end=\"528\"\u003e\n\u003cli data-section-id=\"lf6f0j\" data-start=\"444\" data-end=\"476\"\u003eThe \u003cstrong data-start=\"450\" data-end=\"476\"\u003estructure of the Excel\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"1v3x4od\" data-start=\"477\" data-end=\"500\"\u003eThe \u003cstrong data-start=\"483\" data-end=\"500\"\u003etabs included\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003cli data-section-id=\"1ge9gg3\" data-start=\"501\" data-end=\"528\"\u003eThe \u003cstrong data-start=\"507\" data-end=\"528\"\u003eformat and layout\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"530\" data-end=\"589\"\u003e\u003cstrong data-start=\"530\" data-end=\"544\"\u003eImportant:\u003c\/strong\u003e\u003cbr data-start=\"544\" data-end=\"547\"\u003eThis sample \u003cstrong data-start=\"559\" data-end=\"588\"\u003eDOES NOT CONTAIN ANY DATA\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cul data-start=\"591\" data-end=\"698\"\u003e\n\u003cli data-section-id=\"1hk1u07\" data-start=\"591\" data-end=\"615\"\u003eAll tables are empty\u003c\/li\u003e\n\u003cli data-section-id=\"1ifuzlz\" data-start=\"616\" data-end=\"660\"\u003eNo figures, no market sizes, no rankings\u003c\/li\u003e\n\u003cli data-section-id=\"rmlydr\" data-start=\"661\" data-end=\"698\"\u003eIt is only a \u003cstrong data-start=\"676\" data-end=\"698\"\u003etemplate \/ preview\u003c\/strong\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"700\" data-end=\"796\"\u003e👉 Think of it as a \u003cstrong data-start=\"720\" data-end=\"738\"\u003e“demo version”\u003c\/strong\u003e so you can check what you will receive before purchasing.\u003c\/p\u003e\n\u003chr data-start=\"798\" data-end=\"801\"\u003e\n\u003ch3 data-section-id=\"mk4kgo\" data-start=\"803\" data-end=\"844\"\u003e\u003cspan role=\"text\"\u003e\u003cstrong data-start=\"807\" data-end=\"844\"\u003e2. Premium Report (Full Database)\u003c\/strong\u003e\u003c\/span\u003e\u003c\/h3\u003e\n\u003cp data-start=\"846\" data-end=\"913\"\u003eThis is the \u003cstrong data-start=\"858\" data-end=\"874\"\u003epaid version\u003c\/strong\u003e and includes the \u003cstrong data-start=\"892\" data-end=\"912\"\u003ecomplete dataset\u003c\/strong\u003e:\u003c\/p\u003e\n\u003cul data-start=\"915\" data-end=\"1101\"\u003e\n\u003cli data-section-id=\"slemnd\" data-start=\"915\" data-end=\"954\"\u003eCredit card loan portfolios by bank\u003c\/li\u003e\n\u003cli data-section-id=\"18w15xg\" data-start=\"955\" data-end=\"995\"\u003eMarket size by country (LCY and USD)\u003c\/li\u003e\n\u003cli data-section-id=\"5tsgs\" data-start=\"996\" data-end=\"1026\"\u003eMarket shares and rankings\u003c\/li\u003e\n\u003cli data-section-id=\"anqtwt\" data-start=\"1027\" data-end=\"1071\"\u003eBenchmarkings and performance indicators\u003c\/li\u003e\n\u003cli data-section-id=\"h48xid\" data-start=\"1072\" data-end=\"1101\"\u003eData for all 18 countries\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp data-start=\"1103\" data-end=\"1164\"\u003e👉 This is the \u003cstrong data-start=\"1118\" data-end=\"1163\"\u003efull Excel with all the data and analysis\u003c\/strong\u003e.\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"rankingslatam","offers":[{"title":"PREMIUM REPORT (EXCEL)","offer_id":52861445177680,"sku":null,"price":190.0,"currency_code":"USD","in_stock":true},{"title":"SAMPLE REPORT (EXCEL)","offer_id":52861445144912,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true},{"title":"FREE OVERVIEW (PDF)","offer_id":52897127530832,"sku":null,"price":0.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0262\/6142\/2140\/files\/MapLatinAmericaReport.png?v=1752603553","url":"https:\/\/rankingslatam.com\/en-ar\/products\/credit-card-loan-portfolio-by-bank-in-latin-america","provider":"rankingslatam","version":"1.0","type":"link"}