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Artul.ai Research LibraryStudy No. 33Hypotheses TestedUpdated 2026-08-28

Fake It Till You Make It: Earnings Calls That Act Already Bigger

By Artul.ai Research Group · n = 86 earnings calls · First published 2026-08-28
Abstract

We asked a simple question of 470 earnings calls from 2015 to 2024: which ones answered YES to the hypothesis that management acted like the company is already bigger than it is? 86 calls, or 18.3% of the corpus (95% CI 15.1% to 22.0%), fit the pattern. These calls skew toward promotion (5.52 vs 5.09) and confidence (7.6 vs 7.32), with less stress (2.22 vs 2.39) and less evasion (2.58 vs 2.72). They talk up themes like 'Volume About to Step Up' (1.49x the base rate) and 'Early Products Growing Fast' (1.44x). Yet 28 of these calls with forward returns showed a median of -14.75% versus -11.14% for the 188-call base, with only 28.6% beating the base's 36.7%.

Key findings
  • 86 of 470 calls (18.3%, 95% CI 15.1%-22.0%) answered YES to acting like the company is already bigger.
  • These calls score higher on promotion (5.52 vs 5.09) and confidence (7.6 vs 7.32) but lower on stress (2.22 vs 2.39) and evasion (2.58 vs 2.72).
  • The theme 'Volume About to Step Up' appears 1.49x more often than in the base, and 'Early Products Growing Fast' 1.44x more often.
  • In the 28-call forward-return sample, the median return was -14.75% versus -11.14% for the base, with 28.6% beating versus 36.7% for the base.

1Introduction

Some management teams narrate their earnings calls as if the company they run were already the giant it hopes to become: they lean on growth themes, project confidence, and frame today as a rounding error against tomorrow. That posture is easy to spot and tempting to read as bullish signal, but a confident story and a compounding business are not the same thing. Anyone who follows earnings calls closely needs to know how common this posture is, what linguistic fingerprints it leaves, and what actually happened to those stocks afterward. This study examines 470 calls from 2015-2024, isolating the 86 that fit the 'already bigger' pattern and profiling their behavior, guidance, themes, and forward returns.

2Data & methodology

The corpus comprises 470 earnings-call transcripts published between 2015 and 2024, 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 that answered YES to the research hypothesis "Acted like it's already bigger" (n = 86; 18.3% of the reference set, 95% Wilson interval 15.1%–22.0%). Baseline figures use the set of calls on which this question was tested. 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

The 'already bigger' calls run hotter and calmer at once: promotion is up 0.43 points (5.52 vs 5.09), confidence up 0.28 (7.6 vs 7.32), while stress (2.22 vs 2.39), evasion (2.58 vs 2.72), and candor (6.84 vs 6.91) all sit slightly below base. Their themes are growth-forward: 'Volume About to Step Up' at 1.49x base, 'Early Products Growing Fast' at 1.44x, and 'A Tiny Fraction of the Market' at 1.33x; the lone under-represented theme, 'When the CFO Dominates,' appears at 0.5x. Guidance mixes in about the same as base, with more raises (27.9% vs 21.1%) and fewer cuts (8.1% vs 13.4%). The forward returns, however, run below base: a -14.75% median versus -11.14%, and 28.6% beats versus 36.7%. The pattern's frequency also wobbles by year, from 0.0 in 2020 to 0.11 in 2015 and 2022.

Table 1. Mean behavioral scores (0–9 scale), study group versus baseline
MeterStudy groupBaselineΔ
Candor6.846.91-0.07
Evasion2.582.72-0.14
Specificity7.707.64+0.06
Stress2.222.39-0.16
Promotion5.525.09+0.43
Confidence7.607.32+0.28
Table 2. Guidance actions, study group versus baseline
ActionStudy groupBaseline
Raised27.9%21.1%
Maintained54.7%53.4%
Lowered8.1%13.4%
Withdrawn0.0%1.1%
Table 3. Co-occurring battery signals ranked by lift (group prevalence ÷ baseline prevalence)
SignalLiftIn groupBaseline
Volume About to Step Up1.49×38.4%25.7%
Early Products Growing Fast1.44×55.8%38.7%
A Tiny Fraction of the Market1.33×40.7%30.6%
When the CFO Dominates0.50×7.0%14.1%
20150.11%
20160.01%
20170.06%
20180.06%
20190.01%
20200.00%
20210.07%
20220.11%
20230.10%
20240.05%
20250.00%
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-14.8%-11.1%
Interquartile range-46.3% to +0.5%
Share beating SPY28.6% (95% CI 15%–47%)36.7%
Observations28188
Table 5. Most recent calls matching the study definition
TickerQuarterCall dateCall grade
NOAHQ1 20242024-05-30D
HCKTQ1 20242024-05-08C
LINCQ1 20242024-05-06B+
AESQ1 20242024-05-03C+
PDSQ1 20242024-04-25B
ASBQ1 20242024-04-25A
KOPNQ4 20232024-03-14C+
GIIIQ4 20242024-03-14C

4Discussion

A careful reader should conclude that the 'already bigger' posture is a recognizable, recurring style: roughly one call in five in this corpus, marked by confident, promotional language and growth-framing themes. They should also conclude that, in this sample, that style did not coincide with stronger forward outcomes — medians and beat rates ran slightly below base. They should not conclude that the posture causes anything, that it predicts returns for any single stock, or that the linguistic deltas are large enough to matter in isolation. Style and substance co-occur; this study measures co-occurrence, not consequences.

5Limitations

All behavioral fields are AI-read and noisy, so small deltas should be treated as descriptive rather than definitive. The returns sample covers 22,449 calls skewed toward liquid names, so results may not generalize to the broader market, and the 28-call subset here is small with wide uncertainty. Our own forward tests falsified directional prediction from these signals. Additionally, LLMs partially remember famous stocks' histories, contaminating any backtest of language-based patterns against known outcomes. See the full methodology, including the C1 pattern’s forward-test failure and the LLM-memorization finding.

Companion page: every company matching this hypothesis is listed at the question’s own page.

Cite this study Artul.ai Research Group (2026). “Fake It Till You Make It: Earnings Calls That Act Already Bigger.” Artul.ai Earnings-Call Research Library, Study No. 33. https://artul.ai/research/hypothesis-acted-like-it-s-already-bigger

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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.