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AGM

Federal Agricultural Mortgage Non-VotingA
NYSE / Financial Services
Last Price
At close
2026-07-18
View Chart
Current thesis
The cleanest bull argument is that Q1 delivered a real operating beat in business volume, core earnings, and spread performance, while the immediate stock reaction was favorable and the lone target in the packet remains $215, leaving valuation room above the May 7 close. [#8-K-2026-05-05]
Posture
Constructive
Lead driver
Value
What changed
Value remains the lead driver in the composite, 7D delta -0.2.
What can break
Agricultural Finance credit migration worsened in Q1, with presentation commentary pointing to higher Farm & Ranch nonaccruals and charge-offs concentrated in agricultural exposures. [#8-K-2026-05-05]
Momentum
79
Value
58
Sentiment
48
Setup hits (3d)
— · Net —
AI TargetsBase $190.00 · Bull $215.00 · Bear $160.00
Data freshness
Prices
As of 2026-07-18
Fundamentals
As of 2026-07-17 • Vendor: Data Vendor v1
Scores
As of 2026-07-18 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-18
Supporting evidence
What
Grade A · Constructive
Confidence Medium · Net —
Target $219.67
Why
Momentum79 · Δ7d +0.3
Value58 · Δ7d -0.2
Sentiment48 · Δ7d -4.5
So what
Strength-led posture. Favor watchlist adds and disciplined entries.
Setup hits not loaded

Load setup hits to see net bias and recent triggers.

Load setup hits
Lead driver: Value · See fundamentals
Momentum
79
26% active weight
Current posture
7d trendFlat
Δ7d
+0.3
Δ21d
-0.5
Value
58
39% active weight
Current posture
7d trendFlat
Δ7d
-0.2
Δ21d
-0.1
Sentiment
48
34% active weight
Current posture
7d trendSoftening
Δ7d
-4.5
Δ21d
-6.6
Why this grade

Composite grade A. Momentum 79.5 / Value 58.3 / Sentiment 48.0

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$2.17B
Beta
1.00
Shares Out
10.85M
P/E (TTM)
10.2
P/S (TTM)
1.18
P/FCF (TTM)
7.29
Rev YoY
+21.7%
EPS YoY
+18.5%
Gross Margin
+100.0%
Op Margin
+16.5%
Net Debt
$29.89B
Current Ratio
0.10
As of 2026-07-18 • Updated nightlySource: Internal modelMethodology