Thu. Jul 31st, 2025

Top Spending Leagues in the Winter Transfer Market

Top Spending Leagues in the Winter Transfer Market

The winter transfer window has closed, revealing some surprising moves and significant financial outlays. While January transfers typically involve smaller sums, the Premier League has flexed its economic muscle with substantial investments. In contrast, La Liga’s spending has been minimal. Here’s a rundown of the top 10 leagues by transfer expenditure this winter:

  1. Premier League – €475 million

    Once again, the English top flight leads in transfer spending. Manchester City was the primary contributor, investing around €220 million in strategic acquisitions. The league’s most expensive signing was Omar Marmoush to Manchester City for €75 million.

  2. Serie A – €229 million

    Italy’s premier division ranks second in spending. The transfer of Santi Giménez to AC Milan was the market’s costliest, while Como emerged as the biggest spender, shelling out over €50 million.

  3. Ligue 1 – €201 million

    The French league completes the top three. Paris Saint-Germain led Ligue 1 spending with €70 million, primarily for Khvicha Kvaratskhelia from Napoli, the league’s priciest acquisition.

  4. Brasileirão – €174 million
  5. Bundesliga – €169 million
  6. Saudi Pro League – €168 million
  7. MLS – €144 million
  8. Argentine Primera División – €110 million
  9. EFL Championship – €91 million
  10. Liga MX – €69 million

Notably, La Liga ranks 16th with a modest €26 million in transfer spending, reflecting the Spanish top flight’s diminishing financial clout and reduced capacity for major transfer operations.

By Vihaan Mehrotra

In the heart of Bangalore lives and works Vihaan Mehrotra, one of modern India's most insightful sports analysts. His childhood passion for cricket and field hockey evolved into a successful career. His daily column in Bangalore's digital media covers all significant world sporting events, from cricket matches to badminton tournaments. As a sports betting expert, he developed his own methodology for analyzing team statistics. His IPL match predictions are renowned for their 75% accuracy rate.

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