印度非银行贷款机构Shriram Finance (SHMF.NS) 股价周一跌至11个月低位，此前该公司下调年度贷款增长预期并警告信贷成本将上升，盖过了第二季度利润好于预期的影响。
Shares of India's Shriram Finance (SHMF.NS) fell to an 11-month low on Monday after the non-bank lender lowered its annual loan growth forecast and warned of higher credit costs, overshadowing a better-than-expected second-quarter profit.
股价盘中最大跌幅达6.13%，报810.20卢比，延续了周五的跌势，并有望连续第八个交易日下跌。
Shares fell as much as 6.13% to 810.20 rupees, extending losses from Friday, and were on track for an eighth consecutive session of declines.
公司将2027财年管理资产增长预期从18%下调至15%-17%，理由是季风条件疲弱和地缘政治不确定性，并指出旱灾地区借款人面临压力。
The company cut its assets under management growth forecast for fiscal 2027 to 15%-17% from 18%, citing weak monsoon conditions and geopolitical uncertainty, and flagged pressure on borrowers in drought-hit regions.
Jefferies表示，随着马哈拉施特拉邦、卡纳塔克邦和特伦甘纳邦压力上升，信贷成本可能在未来一到两个季度保持高位。该券商维持“买入”评级，但将目标价从1,210卢比下调至1,145卢比。
Jefferies said credit costs could remain elevated for another one to two quarters as stress rises in Maharashtra, Karnataka and Telangana. The brokerage maintained its "buy" rating but cut its target price to 1,145 rupees from 1,210 rupees.
Motilal Oswal指出，较高的滑动率和核销反映了多个州出现类似干旱的状况，并补充称该贷款机构整体资产质量大体保持稳定。
Higher slippages and write-offs reflected drought-like conditions in several states, Motilal Oswal said, adding that the lender's overall asset quality remained broadly stable.
JM Financial表示，早期违约率上升和农村借款人面临的干旱相关压力仍是Shriram Finance的主要担忧。该券商维持“买入”评级，但将目标价从1,175卢比下调至1,025卢比，理由是资产质量指标恶化。
JM Financial said rising early-stage delinquencies and drought-related stress among rural borrowers remained key concerns for Shriram Finance. The brokerage maintained its "buy" rating but cut its target price to 1,025 rupees from 1,175 rupees, citing deteriorating asset quality indicators.
根据LSEG汇编的数据，Shriram Finance周五公布第二季度利润跃升近60%至367.7亿卢比（约3.873亿美元），超过了分析师预期的354.6亿卢比。
Shriram Finance reported a nearly 60% jump in second-quarter profit to 36.77 billion rupees ($387.30 million) on Friday, beating analysts' estimate of 35.46 billion rupees, according to LSEG-compiled data.