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IFF

International Flavors FragrancesB
NYSE / Materials
Last Price
At close
2026-07-18
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 -28.5.
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
76
Value
45
Sentiment
52
Setup hits (3d)
0 · Net Neutral
AI TargetsBase $80.00 · Bull $90.00 · Bear $69.00
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 B · Constructive
Confidence Medium · Net Neutral
Target $91.28
Why
Momentum76 · Δ7d -28.5
Value45 · Δ7d -0.2
Sentiment52 · Δ7d -3.9
So what
Strength-led posture (Net Neutral). Favor watchlist adds and disciplined entries.
Lead driver: Momentum · See technicals
Momentum
76
26% active weight
Current posture
7d trendSoftening
Δ7d
-28.5
Δ21d
-11.9
Value
45
39% active weight
Current posture
7d trendFlat
Δ7d
-0.2
Δ21d
-0.5
Sentiment
52
34% active weight
Current posture
7d trendSoftening
Δ7d
-3.9
Δ21d
-3.5
Why this grade

Composite grade B. Momentum 76.2 / Value 44.8 / Sentiment 52.1

Fundamentals (TTM)
As of 2026-07-17
Market Cap
$19.96B
Beta
1.07
Shares Out
255.3M
P/E (TTM) · Derived
-55.5
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 2026-07-18 • Updated nightlySource: Internal modelMethodology