The market's rotation toward operational credibility over narrative has sharpened how repeat outperformance is priced. With estimate bands tightening and macro hedging back in favor, serial beaters are revealing which sectors still command genuine leverage — not just momentum drift.

A fresh pull from the Earnings Surprises Bulk API highlights five companies still clearing consensus with disciplined consistency: Celestica, Nextracker, TTM Technologies, United Natural Foods, and Newmont. This article breaks down how we structured that scan using FMP's dataset, and why streak durability — not the headline beat — is becoming the more valuable signal as sentiment shifts from growth at any price to margin-backed conviction.

Five Companies Defining the Current Beat Cycle

CLS Celestica Inc.

Beat Streak: 16 quarters.
Next quarterly report: Jan. 29 — EPS: $1.76; Revenue: $3.49B (consensus).

Celestica's remarkable 16-quarter streak of beat-expectations is more than just operational noise — it signals that the company's pivot toward higher-value assembly and engineering services (especially in AI/data-center infrastructure) is gaining traction in the earnings numbers. In its most recent quarter the company posted revenue of ~$3.19 billion (up ~28 % YoY) and adjusted EPS of $1.58, beating estimates and raising full-year guidance.

What matters here is the durability of demand in new end markets (e.g., enterprise/network switches, edge data center) and the degree to which Celestica can protect margin as it transitions away from legacy lower-margin EMS business. With higher structural growth tied to AI edge adoption, the beat-streak suggests that the market may begin treating Celestica more like a growth engine than a service provider. The commentary on gross margin, backlog, and geographic exposure will be especially important as the next report approaches.

What to watch on Jan. 29: What does management say about AI-switch demand, supply constraints in networking, and margin tailwinds versus headwinds? And is the beat-streak backed by meaningful backlog and ASP (average selling price) expansion, or simply volume increases in low-end businesses?

NXT Nextracker Inc.

Beat Streak: 10 consecutive quarters.
Next quarterly report: Jan. 28 — EPS: $0.95; Revenue: $816.79M (consensus).

Nextracker's ten-quarter streak of earnings and revenue beats highlights a key rotation story: solar-tracker OEMs capturing secular capex acceleration in renewables. Its recent quarterly result—EPS of $1.19 vs ~$0.99 estimate, revenue ~$905M (well ahead of expectations) — underlines execution strength.

But the signal goes deeper: the market is awarding Nextracker not just for beating but for converting strong tailwinds (U.S. tax credits, global solar build-out) into profitability and backlog growth. What to monitor: pricing trends (tracker systems are moderately commoditized), regional mix (U.S. vs international) and the cadence of supply-chain costs.

What to watch on Jan. 28: Will Nextracker reaffirm guidance or increase it? How is backlog trending, especially given global solar-tracker competition? What margin dynamics are flagged given input cost inflation or tariff risk? These views can help assess whether the beat-streak has internal momentum or is relying purely on external capex tailwinds.

TTMI TTM Technologies, Inc.

Beat Streak: 7 quarters.
Next quarterly report: Feb. 5 — EPS: $0.68; Revenue: $752.96M (consensus).

TTM Technologies' seven-quarter streak comes amid an otherwise soft equipment-capex backdrop, which makes it all the more noteworthy. For example, in Q1 2025 it posted revenue of ~$648.7M versus ~$570.1M a year ago, and non-GAAP EPS of $0.50 vs $0.28 — showing ~14 %-20 % growth even in a muted cycle.

The analytical takeaway: this beat-streak may reflect both tailwinds in higher-margin end-markets (aerospace/defence, data-centre, telecom) and disciplined cost/-capex control in manufacturing. What investors should watch: the backlog in higher-margin segments (the firm reported ~$1.46B backlog in A&D) and margin trends — is the beat-streak being driven by mix-shift into higher value or simply volume?

What to watch on Feb. 5: Does guidance account for margin compression or cost inflation? Is the backlog evolving into renewable or data-centre business where growth may be stronger? Also, how are institutional holdings and insider trades behaving — are insiders increasing conviction or hedging?

UNFI United Natural Foods, Inc.

Beat Streak: 5 quarters.
Next quarterly report: Dec. 12 — EPS: $0.40; Revenue: $7.91B (consensus).

UNFI's string of five consecutive beats in an industry under pressure (food-distribution/logistics) signals something different: it is showing resilience more than high-growth. In its latest quarter the company reported Q4 2025 net sales of ~$7.7B, representing a ~1.6% comparable increase, and adjusted EPS of -$0.11, beating consensus of -$0.16 — aided by cost containment and debt reduction.

What to take from this: in a low-growth category, the beat-streak is less about breakout growth and more about operational improvement and credit-quality rebuilding (net debt fell to ~$1.8 b). The signal: when a low-growth sector yields consistent beats, it indicates that execution (rather than macro) is holding up strength.

What to watch on Dec. 12: The commentary on supply-chain/logistics cost (given recent IT-system disruptions at the company), the category-mix shift (natural/organic vs conventional) and generating free cash flow. Also pay attention to leverage, cash-flow, and margin recovery — in this case those metrics may matter more than top-line surprises.

NEM Newmont Corporation

Beat Streak: 4 quarters.
Next quarterly report: Feb. 20 — EPS: $1.81; Revenue: $5.93B (consensus).

Newmont's four-quarter beat run is built on a favorable commodity backdrop (gold price strength) combined with cost discipline. For Q3 2025 the company reported average realized gold price of ~$3,539/oz (up ~40 % YoY), production ~1.4 m oz and all-in sustaining cost (AISC) of ~$1,566/oz — delivering meaningful free-cash flow (~$1.6B) for the fourth straight quarter.

The signal here: a commodity producer delivering not just beats but higher quality metrics (cash flow, cost per ounce) in a favorable macro (gold price) regime. For investors, the question is whether the cost base can hold up if gold prices soften and whether capital-allocation (asset sales, dividends, buybacks) will continue to support shareholder value.

What to watch on Feb. 20: Does management update production guidance, cost-per-ounce outlook or exploration/capital spend? How is the gold price trend feeding into realized pricing? And is free cash flow sustaining at $1 billion+ levels when accounting for sustaining/development capex?

Reading the Signal Beneath the Streaks

Across this week's five names, the through-line isn't sector or style — it's execution persistence amid tightening dispersion. Each has turned consistency itself into a form of alpha. Celestica and TTMI are translating cyclical electronics demand into repeatable margin lift. Nextracker's renewable backlog converts policy tailwinds into tangible profit cadence. UNFI is proving operational resilience in a margin-compressed staple. And Newmont shows what disciplined capital allocation looks like when the macro winds align.

The composite picture, drawn from Financial Modeling Prep data, highlights how streaks evolve from quarterly beats into structural signals. Once a pattern of beats takes hold, markets stop reacting to the number and start interrogating its composition. The question shifts from “did they beat?” to “what kind of beat was it?” Was margin expansion supported by mix and pricing power, or deferred expense timing? Did free cash flow follow earnings, or diverge? That second layer of inquiry mirrors the behavior tracked in post-earnings announcement drift — where markets continue to reprice long after results as conviction builds (or fades) around the quality of the surprise.

The same logic applies here. When datasets are layered — pairing margin progression from the Income Statement Bulk API with cash-generation trends from the Cash Flow Statement API, or aligning analyst-target drift from the Analyst Estimates API with realized growth — the streak stops being anecdotal and becomes diagnostic.

When those signals move in sync — stronger margins, improving cash conversion, upward estimate revisions — the streak points to durable leverage. When they diverge, it usually marks a shift from strength to timing luck. Overlaying insider behavior and balance-sheet context sharpens that view: insider accumulation amid deleveraging confirms conviction, while persistent selling during rising guidance often signals fatigue.

Ultimately, beat streaks compress the market's reaction window. Each successive quarter raises the bar for surprise, shifting focus from what was beaten to how the beat was earned. Companies that sustain beats while expanding backlog, cash yield, and balance-sheet efficiency earn lasting multiple support; those relying on accounting cadence or sentiment drift eventually run into gravity.

Building a Repeatability Screen with FMP Data

The cleanest way to spot companies that consistently outperform is to begin with a broad, data-driven sweep rather than starting from specific names. Using the Earnings Surprises Bulk API, you can pull every reported EPS beat or miss for a given year in one request — giving you a complete, unbiased starting universe.

1. Pull Bulk Earnings Surprises

Start by querying the Earnings Surprises Bulk API, which returns the full set of positive and negative EPS surprises across all tickers for a selected year:

https://financialmodelingprep.com/stable/earnings-surprises-bulk?year=2025&apikey=YOUR_API_KEY

Sample Response:

[

{

"symbol": "AMKYF",

"date": "2025-07-09",

"epsActual": 0.3631,

"epsEstimated": 0.3615,

"lastUpdated": "2025-07-09"

}

]

Each entry includes both the actual and estimated EPS values. The first filter is straightforward: keep only those where epsActual exceeds epsEstimated. That trims your list to companies that cleared expectations — a simple but effective first pass before looking for pattern continuity.

2. Retrieve Company-Level Details

Next, shift from single-quarter events to streak behavior. For each symbol that passes the initial screen, use the Earnings Report API to pull its historical quarterly data:

https://financialmodelingprep.com/stable/earnings?symbol=AAPL&apikey=YOUR_API_KEY

Review the sequence of quarters and count how long each company has been outperforming. You can define your own threshold — for example, flagging streaks of three or more consecutive beats or setting a minimum surprise margin to filter out statistical noise.

Scaling the Screen as Coverage Broadens

The streak screen is easy to test in its early form using the Free plan, which already includes heavily followed names like AAPL, GOOGL, and JPM — more than enough to validate logic and tune thresholds. Once the framework proves stable, upgrading to the Starter plan opens the full U.S. equity universe, giving the signal better balance across sectors and capitalization tiers.

For broader peer comparisons, the Premium plan adds U.K. and Canadian coverage, allowing the same screen to operate globally without regional blind spots.

Embedding the Signal Firmwide

Once a beat-streak screen demonstrates reliability at the desk level, its real value comes from institutionalizing it. The goal is to move from a single-analyst tool to a shared research fabric — where portfolio, risk, and strategy teams work from the same structured foundation rather than rebuilding logic in parallel.

When the data feed is centralized, each group can tune parameters — streak duration, surprise thresholds, margin sensitivity — without duplicating effort or breaking comparability. Research analysts gain consistency in narrative framing, PMs can link the output to exposure tiers or factor models, and risk teams benefit from audit-ready timestamps that tighten review cycles and reduce backtest drift.

Embedding the workflow into shared dashboards or governance frameworks requires infrastructure that can handle version control, permissions, and model lineage. The Enterprise plan provides that backbone — ensuring the same dataset underpins every interpretation. The result isn't another spreadsheet model but a standardized signal that scales cleanly across teams and time.

Turning Consistency into Market Foresight

Once consistency becomes measurable, it stops being backward data and starts shaping forward expectations. Built through the Earnings Surprises Bulk API, the same framework that flags streaks can evolve into a live read on operating momentum — tracking not just who beat, but who's building leverage quarter after quarter.

Want more? Explore our earlier article: Top 5 Analyst Rating Changes via FMP API (Week of Oct 20-24)