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Artul.ai Research LibraryStudy No. 24Call SignalsUpdated 2026-08-28

Build It and They Will Say It's Growing: 'Early Products Growing Fast' on Earnings Calls

By Artul.ai Research Group · n = 63,629 earnings calls · First published 2026-08-28
Abstract

This study examines 63,629 earnings calls from 1990 to 2026 in which an AI model answered YES to the battery item "Early Products Growing Fast" — 38.5% of the 165,182-call corpus (95% CI 38.3%–38.8%). These calls skew promotional: promotion scores 5.60 vs. 5.05 elsewhere and confidence 7.44 vs. 7.21, while candor runs slightly lower (6.72 vs. 6.86). Management raised guidance on 27.2% of these calls versus 21.1% of others. Language lifts cluster around growth narratives: "A Tiny Fraction of the Market" (1.84x), "Deferred Revenue Growing" (1.67x), and "The Hidden Segment" (1.55x). Among 9,514 calls with forward returns, the median was -6.5% and 41.7% beat the median of the broader 22,449-call sample. The share of such calls peaked at 46.8% in 2021.

Key findings
  • 38.5% of 165,182 calls (n=63,629) were flagged YES for "Early Products Growing Fast," with a 95% CI of 38.3% to 38.8%.
  • These calls score higher on promotion (5.60 vs. 5.05) and confidence (7.44 vs. 7.21) but slightly lower on candor (6.72 vs. 6.86).
  • Guidance was raised on 27.2% of flagged calls versus 21.1% of unflagged calls, and the phrase "A Tiny Fraction of the Market" appears 1.84x more often.
  • Among 9,514 flagged calls with forward returns, the median return was -6.5%, and 41.7% beat the sample median versus 39.5% in the 22,449-call base.

1Introduction

Few claims on an earnings call are as seductive as a young product line growing fast. It reframes the whole conversation: today's numbers matter less than tomorrow's curve. For anyone who dissects calls for a living, knowing how often this framing appears — and what accompanies it — is useful context. Is the growth story paired with candor and specificity, or with promotion and confidence? Does it travel with raised guidance, and with the classic vocabulary of the hidden-gem pitch? This study examines 63,629 calls from 1990 to 2026 where a model answered YES to the battery item "Early Products Growing Fast," describing their language profile, guidance behavior, phrase lifts, prevalence over time, and subsequent returns.

2Data & methodology

The corpus comprises 165,182 earnings-call transcripts published between 1990 and 2026, each scored independently by a large language model on an identical 37-field battery: seven categorical business verdicts, eight 0–9 behavioral meters, and twenty yes/no judgments. The study group is defined as calls where the model answered YES to the battery item "Early Products Growing Fast" (n = 63,629; 38.5% of the reference set, 95% Wilson interval 38.3%–38.8%). Baseline figures use all scored calls. Market outcomes join a fixed sample of 22,449 calls with twelve-month total returns in excess of SPY, measured from the first close after each call; this sample skews toward liquid U.S. names and is reported as descriptive history only.

3Results

Flagged calls carry a promotional accent: promotion averages 5.60 versus 5.05 on other calls, confidence 7.44 versus 7.21, while candor is slightly lower at 6.72 versus 6.86. Guidance actions lean optimistic — raised on 27.2% of flagged calls versus 21.1% otherwise, maintained on 46.7% versus 48.8%. The phrase lifts read like a growth-pitch anthology: "A Tiny Fraction of the Market" at 1.84x, "Deferred Revenue Growing" at 1.67x, "The Hidden Segment" at 1.55x, and "Volume About to Step Up" at 1.45x. Prevalence climbed from 33.0% in 2015 to a 46.8% peak in 2021 before settling near 39.2% in 2024. Forward returns were unremarkable: a median of -6.5% across 9,514 calls, with 41.7% beating the sample median versus 39.5% in the base.

Table 1. Mean behavioral scores (0–9 scale), study group versus baseline
MeterStudy groupBaselineΔ
Candor6.726.86-0.14
Evasion2.792.70+0.09
Specificity7.547.56-0.02
Stress2.382.43-0.05
Promotion5.605.05+0.55
Confidence7.447.21+0.23
Table 2. Guidance actions, study group versus baseline
ActionStudy groupBaseline
Raised27.2%21.1%
Maintained46.7%48.8%
Lowered10.6%11.6%
Withdrawn2.2%2.7%
Table 3. Co-occurring battery signals ranked by lift (group prevalence ÷ baseline prevalence)
SignalLiftIn groupBaseline
A Tiny Fraction of the Market1.84×55.2%30.0%
Deferred Revenue Growing1.67×14.8%8.9%
The Hidden Segment1.55×32.7%21.1%
Volume About to Step Up1.45×41.2%28.5%
Founder-Led Companies1.38×27.6%20.0%
201532.96%
201633.29%
201735.69%
201837.35%
201938.22%
202036.39%
202146.78%
202241.25%
202338.47%
202439.22%
202536.91%
Figure 1. Share of all analyzed calls matching the study definition, by year.
Table 4. Twelve-month excess total returns versus SPY (descriptive history, not a signal)
StatisticStudy groupReturns sample
Median excess return-6.5%-7.2%
Interquartile range-28.3% to +15.2%
Share beating SPY41.7% (95% CI 41%–43%)39.5%
Observations9,51422,449
Table 5. Most recent calls matching the study definition
TickerQuarterCall dateCall grade
AONQ2 20252025-07-25C
OMFQ2 20252025-07-25A
VRTSQ2 20252025-07-25C+
FLGQ2 20252025-07-25B
FRSTQ2 20252025-07-25A
ANQ2 20252025-07-25B
CHTRQ2 20252025-07-25C+
DBOEYQ2 20252025-07-25B+

4Discussion

A careful reader should conclude that the "early products growing fast" framing is common, slightly promotional in tone, and associated in this sample with more frequent guidance raises and the vocabulary of emerging-opportunity pitches. One should not conclude that the framing causes better outcomes, that these companies outperform, or that the modest differences in beat rates signal an edge — the differences are small and the study is descriptive, not predictive. The 2021 peak coincides with a period of broad growth optimism, but prevalence trends reflect language and labeling, not verified fundamentals.

5Limitations

The battery items are AI-read fields and inherently noisy; a YES label reflects model judgment of call language, not audited fact. The returns sample covers 22,449 calls, of which 9,514 are flagged, and is skewed toward liquid names, limiting generalizability. Our own forward tests falsified directional prediction from these features, so nothing here should be read as a trading signal. Finally, LLMs partially remember famous stocks' histories, contaminating any backtest built on model-labeled language. See the full methodology, including the C1 pattern’s forward-test failure and the LLM-memorization finding.

Cite this study Artul.ai Research Group (2026). “Build It and They Will Say It's Growing: 'Early Products Growing Fast' on Earnings Calls.” Artul.ai Earnings-Call Research Library, Study No. 24. https://artul.ai/research/early-products-growing-fast-earnings-calls

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Not investment advice. Artul.ai publishes AI-generated earnings-call quality grades and expected-volatility estimates — never buy or sell recommendations. We tested over 1,600 predictive hypotheses against 165,000 transcripts; the honest result, including what failed, is documented in our methodology.