A quick pass through this week's target-gap scan pulled five tickers that are breaking away from their implied valuation range. The dispersion isn't showing up in revisions yet, but the pricing drift is already visible when current levels are lined up against consensus targets through the FMP Price Target Summary Bulk API.

This note walks through the names, the gap math, and why the screen is flagging them now.

Five Stocks Showing Notable Upside Skew

Wix.Com Ltd NASDAQ:WIX

Current Price: $95.71 • Consensus Target: $184.3 • Upside Potential: ≈ 92.6%

Wix remains one of the most striking cases of optimistic wall-street sentiment versus current share price.

That gulf between market price and target sketch-out a clear signal: analysts are banking on a reacceleration in the company's growth trajectory — hinged on stronger bookings growth, product adoption (e.g., commerce / business apps), and margin leverage over coming quarters.

What to watch next: upcoming earnings, actual bookings metrics, and especially the evolution of non-GAAP profitability and guid­ance in local currency. If Wix delivers upside surprises on those dimensions, the disconnect between price and target could attract renewed capital flows. Examining its upcoming income statement (revenue growth, margins) and cash-flow generation will be particularly informative.

JD.com Inc NASDAQ:JD

Current Price: $29.83 • Consensus Target: $40 • Upside Potential: ≈ 34.1%

Given recent pressure on Chinese tech and e-commerce firms, that 34% gap may reflect cautious optimism rather than exuberance. JD's near-term performance has been under pressure, with the stock experiencing a roughly -12% return over the past month, even as some revenue-growth forecasts remain mildly positive.

This setup may reflect a classic “reversion to growth” signal: if macro sentiment toward China stabilizes — or if regulatory and consumer-spending headwinds ease — JD could benefit from a re-rating. What matters for JD is visibility on domestic consumption trends, regulatory clarity, and execution of its logistics and retail integration strategy.

What to watch next: Tracking next-quarter top-line growth, margin recovery, and any updates on regulatory or macro headwinds would help clarify the risk-reward balance.

Microchip Technology Inc NASDAQ:MCHP

Current Price: $53.58 • Consensus Target: $71.3 • Upside Potential: ≈ 33.1%

Microchip offers what might be viewed as a “value-recovery” setup: a modest 33% upside but against a backdrop of semiconductor cyclicality that could turn more favorable if end-market demand firm-ups. The implied target reflects expectations for either a rebound in demand for its microcontroller/analog/embedded products, margin stabilisation, or both.

For Microchip, the signal here is about optionality — the stock is priced as if downside risks are minimized and some stabilization is already priced in, but the upside remains contingent on broader industry up-cycles.

What could swing momentum: improved quarterly bookings, inventory digestion in end-markets, or signs of renewed cap-ex / end-demand from customers. The next relevant data to track: semi-annual sales, order backlog, and gross-margin trends from upcoming earnings.

Zillow Group Inc NASDAQ:ZG

Current Price: $72.35 • Consensus Target: $87.57 • Upside Potential: ≈ 21.0%

While the potential 21% upside is less aggressive than some peers, the figure still suggests modest optimism that its real-estate-tech platform may regain some traction amid shifting housing-market dynamics or improved consumer sentiment.

The modest target gap might reflect a cautious rebound call: perhaps envisaging that mortgage rates ease or that housing-market activity normalizes — both of which could resurface demand for Zillow's core services (listings, marketplace, rentals, etc.).

What to watch next: key signals will come from housing-market data, user engagement metrics, and any forward guidance the company provides on transaction volume or ad revenue growth. Watching upcoming real-estate trends (inventory levels, mortgage rates) alongside its own earnings will clarify whether this is a slow grind upward or a setup poised for a meaningful re-rating.

Ideaya Biosciences Inc NASDAQ:IDYA

Current Price: $35.62 • Consensus Target: $42.43 • Upside Potential: ≈ 19.1%

With a more modest ~19% upside, IDYA doesn't command the same “moonshot” expectation as other names here — yet the skew still reflects what could be a near-term value play. The difference suggests some belief in upcoming catalysts, perhaps clinical trial milestones or pipeline progress.

In biotech names like IDYA, what matters is less price-target consensus and more binary catalyst-driven events (e.g., trial readouts, regulatory updates). The upside potential signals the market is already pricing in at least one favorable upcoming data point.

What to watch next: pay attention to its pipeline calendar and trial timelines, and combine that with publicly available filings and company announcements to gauge probability. A look at its clinical-trial registry and disclosures could give early warning if things slip.

What the Gap Reveals Beneath the Surface

Taken together, the five names don't point to a single sector trend — they point to a valuation signal. Each company sits in a very different industry, yet all show the same structural feature: market pricing has slipped well below where the analyst community still anchors its expectations. When that disconnect appears across unrelated businesses, the story is rarely about any one catalyst. It's about timing — price reacting faster than the models.

A target-gap screen is useful precisely at this juncture. The divergence isn't a conclusion; it's the prompt for deciding whether the gap reflects mispricing, a consensus lag, or a genuine deterioration in fundamentals. That distinction becomes sharper when you lay the target-to-price spread alongside operating data pulled from adjacent feeds — revenue, margins, and cash generation via Financial Statements APIs — approaching the problem with the same structured mapping that underpins FMP's article on estimate and price-target heatmaps. When cash flow and balance-sheet trends hold steady while the gap widens, the signal carries different weight than when the fundamentals are clearly softening.

Revision behavior adds another layer. Analyst Estimates dataset help differentiate a stubborn gap supported by rising estimates from a superficial one caused by stale models. Those patterns become more coherent when sourced from a single data backbone such as the FMP homepage, where estimates, filings, and market data align cleanly enough to make cross-endpoint comparisons meaningful.

In the end, the target-price gap is less a forecast than a diagnostic. It highlights where expectations and traded reality have diverged, inviting a tighter read across fundamentals, revisions, positioning, and price behavior. When those pieces reinforce each other, the gap functions as an early signal; when they conflict, it becomes a warning worth respecting.

How to Structure a Target-Gap Workflow with FMP

Setting up a target-gap screen is mostly about lining the data pulls up in the right sequence. Once the workflow is structured, the entire process runs cleanly off a few API calls and can refresh any watchlist without manual intervention. Below is the sequence most research or quant teams use when building this type of scan.

Make sure your API key is live before running it.

Step 1: Pull Analyst Price Targets

Start by collecting the consensus targets for all tickers you want to screen. The Price Target Summary Bulk API delivers this in a single batch request, giving you the average targets and coverage counts without looping through individual names.

Endpoint:
https://financialmodelingprep.com/stable/price-target-summary-bulk?apikey=YOUR_API_KEY

Sample Response:

[

{

"symbol": "AAPL",

"lastQuarterCount": "12",

"lastQuarterAvgPriceTarget": "228.15",

"lastYearAvgPriceTarget": "205.34"

}

]

Step 2: Pull Latest Market Prices

Next, pair those targets with the most recent trading price. That data sits in the Company Profile Data API, which includes the current quote used as the reference point for your gap calculation.
https://financialmodelingprep.com/stable/profile/AAPL?apikey=YOUR_API_KEY

Step 3: Derive the Target Gap

With both the current price and the consensus target available, calculate the percentage difference:

Upside % = (Price Target - Current Price) / Current Price × 100

Working in percentage terms standardizes the results so that high-priced and low-priced names can be compared on the same footing.

Step 4: Apply a Threshold Filter

Finally, filter the list. Most desks use a baseline screen — often 20%+ implied upside — to separate routine noise from names that merit further review. Coverage depth matters here: a wide gap supported by multiple analyst inputs carries more weight than the same gap derived from only a few estimates. This is where participation and recency of inputs can help determine whether the signal is actionable.

Scaling a Desk-Level Screen Into a Firmwide Signal

A target-gap screen is useful when one analyst runs it; it becomes powerful only when the firm runs it. The real leverage comes from standardizing the logic—definitions, refresh cadence, thresholds—so every desk interprets the same signal from the same foundation. Once the workflow is no longer tied to a single spreadsheet or personal script, it shifts from being an analyst's shortcut to a shared lens the organization can trust.

Championing that shift means treating the screen like internal infrastructure. Clear rules around coverage minimums, stale-estimate handling, and update timing create guardrails that prevent drift and ensure that research, PMs, and risk all see the same version of reality. When the inputs are uniform, conversations move away from debating whether the numbers are “right” and toward whether the signal is meaningful. The operational benefit is immediate: fewer ad-hoc recalcs, fewer one-off dashboards, and a measurable reduction in workflow fragmentation.

At scale, the only signals that hold up are the ones that can be reproduced, audited, and monitored. That requires a centralized data backbone rather than isolated analyst tools—which is where something like the FMP Enterprise plan naturally fits. It provides a single authoritative feed that teams can build on without reinventing their own data plumbing. When the target-gap logic lives inside that shared environment, it stops functioning as a temporary insight and becomes a durable part of the firm's decision-making framework—consistent, explainable, and ready for cross-team use.

When Sentiment Turns Before Consensus Does

Target-price gaps often surface the shift in tone before the formal revisions arrive, making them a useful early read on where expectations may be drifting next. This screen is designed to catch that inflection point, drawing on the same foundation used throughout the workflow — the FMP Price Target Summary Bulk API — to highlight where the market may be leaning ahead of the models.

If you enjoyed this analysis, you'll also want to read: Top 4 Upgrades & Downgrades via FMP API (Week of Nov 17-21)