Federal Agricultural Mortgage Q2 adjusted EPS beats estimates

Federal Agricultural Mortgage

30/07/2026 21:25

Overview
US agricultural mortgage lender's Q2 adjusted EPS beat analyst expectations
Q2 net interest income rose 22% yr/yr, driven by robust volume growth
Company launched new Farm & Ranch loan platform and issued $100 mln in preferred stock

Outlook
Farmer Mac says it is well positioned to navigate evolving macro environment in 2026
Company expects significant opportunities ahead in agricultural and rural infrastructure markets

Result Drivers
PORTFOLIO GROWTH - Co said broad-based net portfolio growth of $2.4 bln reflected strong customer demand across all segments
FARM & RANCH EXPANSION - Farm & Ranch portfolio grew by $1.7 bln, driven by $1.1 bln net growth in AgVantage securities and $483.4 mln in net loan purchases
INTEREST RECOVERY - Net effective spread increased partly due to $7.4 mln recovery of interest on a delinquent permanent planting exposure

Company press release: ID:nPn5WrclGa

Key Details
Metric
Beat/Miss
Actual
Consensus Estimate
Q2 Adjusted EPS
Beat
$5.4
$4.87 (3 Analysts)
Q2 EPS
 
$5.41
 
Q2 Net Income
 
$66.95 mln
 
Q2 Net Interest Income
 
$118.1 mln
 
Q2 Basic EPS
 
$5.43
 
Q2 Pretax Profit
 
$81.84 mln
 

Analyst Coverage
The current average analyst rating on the shares is "buy" and the breakdown of recommendations is 2 "strong buy" or "buy", no "hold" and no "sell" or "strong sell"
The average consensus recommendation for the corporate financial services peer group is "buy"
Wall Street's median 12-month price target for Federal Agricultural Mortgage Corp is $226.00, about 5.8% above its July 29 closing price of $213.67
The stock recently traded at 11 times the next 12-month earnings vs. a P/E of 8 three months ago

Reuters Recommended Reads
July 27 - Farmers & Merchants Bancorp Q2 pretax profit beats analyst estimates
July 29 - Farmland Partners Q2 AFFO slightly beats estimates
July 30 - Agricultural machinery maker AGCO misses Q2 estimates on softer industry demand

For questions concerning the data in this report, contact Estimates.Support@lseg.com. For any other questions or feedback, contact reuters.support@thomsonreuters.com.

(This story was created using Reuters automation and AI based on LSEG and company data. It was checked and edited by a Reuters journalist prior to publication.)