Resilience in Adversity: Nifty Pharma Index Battles U.S. Pricing Order
The Nifty Pharma index showcased remarkable resilience in the face of pressure from an anticipated U.S. executive order aimed at cutting drug prices. An early drop was offset by investor confidence, leading to a recovery. Global implications are expected due to the new 'Most Favored Nation' pricing rule.

- Country:
- India
On Monday, the Indian pharma sector displayed notable resilience in the stock market, overcoming initial setbacks due to a forthcoming executive order by U.S. President Donald Trump aimed at slashing prescription drug prices. The Nifty Pharma index opened at 20,949.70 only to dip by over 1,300 points to 20,600 shortly after.
The early decline aligned with expectations that Indian pharmaceutical companies might experience pressure from the U.S. move. However, a shift in market sentiment followed signs of better relations between India and Pakistan on conflict issues, buoying investor confidence. Consequently, the Nifty Pharma index rebounded by over 2.5 percent, recovering 1,300 points from its intraday low to stabilize at 21,047.
Experts had forecasted a challenging session for pharma stocks as President Trump's new executive order, which targets reducing U.S. drug prices by 30 to 80 percent, was set to be signed at 9 AM ET. Ajay Bagga, a Banking and Market Expert, confirmed that the U.S. announcement would likely put pressure on pharma stocks.
The U.S. 'Most Favored Nation' pricing rule aligns drug costs with the lowest prices in other countries, providing immediate cost relief to American patients. Industry analysts like GTRI warn that this could lead to a global pricing correction. Some believe this might prompt pharmaceutical companies to lobby for higher drug prices in low-cost markets like India.
Despite these looming challenges, the robust recovery in the Nifty Pharma index underlines investor confidence in the Indian pharma sector's ability to navigate global changes and maintain its resilience under external pressures.
(With inputs from agencies.)