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Company report
Review the methodology status, formula details, and supporting context for PICS.
Methodology
AAOIFI
DJIM
S&P Shariah
Company
PicS N.V. operates as a digital financial services company that provides digital wallet and application for individuals and businesses in Brazil. The company offers a range of transactional products for its consumers, including Pix, an instant payment system, peer-to-peer between PicPay accounts, bill payments, payroll portability, global account, and a payment assistant that helps consumers organize, centralize, and settle bills through an integrated hub. The company also provides multipurpose cards; personal loans; instalment payments; payroll loans for public servants, retirees, and pensioners; private payroll loans for formally employed workers; and access to the FGTS annual birthday withdrawal program. In addition, it offers digital insurance distribution platform with products, such as digital wallet insurance, PicPay Card bill protection, credit life insurance, smartphone protection, life insurance, home insurance, and others, as well as provides a range of products to various investor profiles and financial goals. Further, the company offers a portfolio of products in QR code payments for small and medium-sized businesses; banking services; corporate benefits and salary advances; PicPay Shop that offers consumers to purchase a range of products and services; and PicPay Ads, an advertising platform designed to enable brands to reach engaged consumer base through contextualized placements within the app. PicS N.V. was formerly known as Picpay Holdings Netherlands B.V. The company was founded in 2012 and is based in São Paulo, Brazil. PicS N.V. is a subsidiary of Jf International B.v.
Debt ratio
Formula
Total Interest-Bearing Debt / Market Capitalization (or Avg for AAOIFI/DJIM)
Thresholds
Cash ratio
Formula
(Cash + Interest-Bearing Securities) / Market Capitalization
Thresholds
Analysis
Financial Data
Methodology
Haram revenue
Formula
Impermissible Revenue / Total Revenue
Thresholds
Methodology