Money Laundering Examples
Money laundering examples show how criminals turn dirty money into clean-looking funds. Common ones include structuring cash deposits, shell companies, trade mis-invoicing, real estate, and money mules. Large bank cases like Danske Bank and TD Bank show the same methods at scale. Key takeaways A money laundering example is any real method used to disguise the criminal origin of funds. Everyday examples include structuring, money mules, and cash-intensive businesses. Business examples include shell companies and trade-based laundering. About 200 billion euros in suspicious transactions ran through Danske Bank’s Estonia branch from 2007 to 2015. In 2024, TD Bank paid about $3 billion after 92 percent of its transactions went unmonitored. Every example maps to the three stages: placement, layering, and integration. On this page What counts as oneEveryday examplesBusiness and tradeReal estate and cryptoFamous casesHow they are caughtFAQsRead more ~200bn EUR Suspicious flows through Danske Bank’s Estonia branch (2007 to 2015) Source: Danske Bank internal report $4.5B Misappropriated in the 1MDB scandal Source: US Department of Justice $800B to $2T Laundered worldwide each year Source: UNODC What counts as a money laundering example? A money laundering example is any real method a criminal uses to make illegal money look legal. The method matters less than the goal, which is to break the link between the cash and the crime that produced it. Every example fits the same three-stage model. Money enters the system (placement), gets moved around to hide its trail (layering), then returns as clean-looking income (integration). If you can spot which stage an example belongs to, you can usually see the reporting trigger it should set off. The examples below run from small and everyday to large and infamous. Read more: for the model behind them, see the three stages of money laundering. Everyday money laundering examples Most laundering is not glamorous. It relies on simple, repeatable methods that hide small amounts of cash across many transactions. Structuring (smurfing). Splitting a large sum into many small cash deposits, each kept below the reporting limit. In the US that limit is $10,000. See how structuring works. Money mules. People who let criminals move funds through their own bank accounts, sometimes for a cut and sometimes without knowing the source. Cash-intensive businesses. Laundromats, car washes, nail bars, and restaurants that mix dirty cash with real takings and report the total as revenue. Gift cards and prepaid cards. Buying stored-value cards with cash, then spending or reselling them to move value quietly. Gambling. Buying casino chips with dirty cash, playing briefly, then cashing out for a check that looks like winnings. Luxury goods. Buying watches, jewelry, or art with cash, then reselling the item for clean money. These methods work because each transaction looks ordinary on its own. The pattern only appears when someone reviews many transactions together. See where your money laundering risk sits Answer a few questions about your customers, products, and markets to get an indicative risk rating in minutes. Try the AML Risk Assessment → Business and trade-based examples Businesses give launderers something an individual cannot: a reason for money to move. That cover is why company structures show up in almost every large case. Shell companies. Firms that exist on paper with no real staff or activity, used to hold funds and issue fake invoices. Learn how shell companies are used. Front companies. Real businesses that trade normally but also wash dirty money through their books. Trade-based laundering. Over-invoicing or under-invoicing goods so value moves across borders while the paperwork looks routine. See trade-based methods. Invoice fraud and round-tripping. Sending money out for fake services, then cycling it back through related companies to look like earnings. Loan-back schemes. Lending dirty money to yourself through a controlled company, then repaying it as clean loan installments. Worth knowing. Trade-based laundering is the hardest type to catch, because a single mispriced invoice looks like a normal commercial decision. Investigators usually need to compare the invoice against market prices for the same goods, which most banks never see. Spot the warning signs early Run our money laundering red flags checklist to review onboarding and transactions for suspicious behavior. Open the Red Flags Checklist → Real estate, crypto, and digital examples Assets that hold large value soak up dirty money well. Property and crypto both let criminals park funds and later sell for a clean receipt. Real estate. Buying property, often through an anonymous company, then selling it on so the proceeds look like a normal sale. Cryptocurrency mixers. Services that pool and shuffle coins to break the link between a wallet and the funds inside it. Chain-hopping. Swapping one cryptocurrency for another across exchanges to make the trail harder to follow. NFTs and digital assets. Buying and reselling digital items between controlled wallets to move value and invent a paper trail. Online marketplaces. Selling fake goods or services to yourself to convert dirty funds into platform payouts. Use the tool: screen a person or company against sanctions, PEP, and adverse media data with Combined AML Screening before you take their money. Famous money laundering cases Large cases are the same everyday methods run at scale, usually because a bank failed to watch its own transactions. Each one below is a matter of public record. Case What happened Scale Danske Bank (2007 to 2015) Suspicious non-resident funds flowed through its Estonia branch, mostly linked to Russia and former Soviet states About 200 billion euros in suspicious transactions (Danske Bank internal report) 1MDB (2009 to 2015) Funds were drained from Malaysia’s state fund through shell companies, then spent on property, art, and a film About $4.5 billion misappropriated (US Department of Justice) Wachovia (2004 to 2007) The bank failed to check the origin of funds from Mexican money-transfer firms tied to drug cartels Weak controls on about $378 billion of transfers (reported 2010) TD Bank (2024) The bank left large categories of transactions out of monitoring, letting criminal networks move funds About $3 billion in penalties, with 92 percent of volume … Read more