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IFF

International Flavors FragrancesB
NYSE / Materials
Last Price
At close
2026-07-21
View Chart
Current thesis
The post-earnings bull read is that IFF delivered a cleaner Q1 operating update with volume growth in every segment, higher cash generation and a reaffirmed full-year outlook despite an unsettled macro backdrop. The filing-supported evidence is enough to justify a more constructive monitoring stance, especially if Food Ingredients portfolio actions progress.
Posture
Constructive
Lead driver
Momentum
What changed
Momentum remains the lead driver in the composite, 7D delta +20.4.
What can break
IFF said the operating environment remains unsettled, so a reaffirmed guide still depends on volume, pricing and productivity holding through the balance of 2026 [#8-K-2026-05-05].
Momentum
75
Value
45
Sentiment
54
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $80.00 · Bull $90.00 · Bear $69.00
Data freshness
Prices
As of 2026-07-21
Fundamentals
As of 2026-07-21 • Vendor: Data Vendor v1
Scores
As of 2026-07-21 • Model: HYBRID_IC_RP
AI Memo
As of 2026-05-08 • Model: RankAlpha Sentiment Codex
Investment thesis
As of 2026-07-21
Supporting evidence
What
Grade B · Constructive
Confidence Medium · Net Neutral
Target $91.64
Why
Momentum75 · Δ7d +20.4
Value45 · Δ7d +0.0
Sentiment54 · Δ7d -6.2
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Momentum · See technicals
Momentum
75
26% active weight
Current posture
7d trendImproving
Δ7d
+20.4
Δ21d
+4.7
Value
45
39% active weight
Current posture
7d trendFlat
Δ7d
+0.0
Δ21d
+0.2
Sentiment
54
34% active weight
Current posture
7d trendSoftening
Δ7d
-6.2
Δ21d
-5.0
Why this grade

Composite grade B. Momentum 75.2 / Value 45.2 / Sentiment 54.5

Fundamentals (TTM)
As of 2026-07-21
Market Cap
$19.47B
Beta
1.07
Shares Out
255.3M
P/E (TTM) · Derived
-54.1
P/S (TTM)
1.55
P/FCF (TTM)
104.36
Rev YoY
-3.6%
EPS YoY
-116.5%
Gross Margin
+31.1%
Op Margin
+0.5%
Net Debt
$6.06B
Current Ratio
1.49
As of 2026-07-21 • Updated nightlySource: Internal modelMethodology