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Artul.ai Research LibraryStudy No. 82Signal CombinationsUpdated 2026-08-28

Smooth Talkers, Full Backlogs: Calls With No Critic Ammo and Growing Deferred Revenue

By Artul.ai Research Group · n = 2,343 earnings calls · First published 2026-08-28
Abstract

This study profiles earnings calls where the model found no critic ammunition (answered NO) and saw deferred revenue growing (answered YES) — 2,343 calls out of 165,182, or 1.42%. Compared with the base population, these calls show lower evasion (2.13 vs. 2.70), lower stress (1.29 vs. 2.43), higher specificity (7.89 vs. 7.56), and higher confidence (8.03 vs. 7.21). Guidance behavior diverges sharply: 55.23% raised guidance versus 21.06% in the base, while only 0.77% lowered it versus 11.56%. Among the 468 calls with measurable next-day outcomes, the median return was 10.06% versus -7.16% for the base, and 62.82% beat versus 39.47%. Lifts are strongest for "Early Products Growing Fast" (1.85x).

Key findings
  • Guidance was raised on 55.23% of these calls versus 21.06% in the base population, and lowered on just 0.77% versus 11.56%.
  • Confidence scores average 8.03 versus 7.21 in the base, with stress at 1.29 versus 2.43 and evasion at 2.13 versus 2.70.
  • The median next-day return in the 468-call returns sample was 10.06% versus -7.16% for the base, with 62.82% beating versus 39.47%.
  • The strongest overrepresented language pattern is "Early Products Growing Fast" at 1.85x lift, while "Critic Ammunition" is absent by construction (0.0x).

1Introduction

Most earnings-call research hunts for smoke: evasion, hedging, the question left hanging. This study looks at the opposite corner of the corpus — calls where the model found no critic ammunition at all and observed deferred revenue growing. Deferred revenue is one of the few line items management cannot easily massage, so its growth alongside unusually confident, low-stress language makes these calls a distinctive population. They account for 2,343 of 165,182 calls spanning 1990 to 2026. The study examines how these calls differ in tone, guidance behavior, language patterns, and measured outcomes relative to the broader base.

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 NO to "Critic Ammunition" AND the model answered YES to "Deferred Revenue Growing" (n = 2,343; 1.4% of the reference set, 95% Wilson interval 1.4%–1.5%). 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

The behavioral profile is striking: confidence runs 8.03 versus 7.21, specificity 7.89 versus 7.56, while stress (1.29 vs. 2.43) and evasion (2.13 vs. 2.70) sit well below base. Guidance tilts heavily upward — 55.23% raised versus 21.06% base, and only 0.77% lowered versus 11.56%. Language lifts concentrate on growth storytelling: "Early Products Growing Fast" at 1.85x, "A Tiny Fraction of the Market" at 1.59x, and "Founder-Led Companies" at 1.57x. In the 468-call returns subset, the median return was 10.06% versus -7.16% base, and 62.82% beat versus 39.47% — though selection, not prediction, may explain it.

Table 1. Mean behavioral scores (0–9 scale), study group versus baseline
MeterStudy groupBaselineΔ
Candor6.926.86+0.05
Evasion2.132.70-0.57
Specificity7.897.56+0.33
Stress1.292.43-1.14
Promotion5.525.05+0.47
Confidence8.037.21+0.82
Table 2. Guidance actions, study group versus baseline
ActionStudy groupBaseline
Raised55.2%21.1%
Maintained38.4%48.8%
Lowered0.8%11.6%
Withdrawn0.3%2.7%
Table 3. Co-occurring battery signals ranked by lift (group prevalence ÷ baseline prevalence)
SignalLiftIn groupBaseline
Early Products Growing Fast1.85×71.3%38.5%
A Tiny Fraction of the Market1.59×47.8%30.0%
Founder-Led Companies1.57×31.4%20.0%
Skeptic Reassured1.51×100.0%66.4%
Guidance Worth Underwriting1.39×99.7%71.5%
Critic Ammunition0.00×0.0%87.8%
Scale-Dependent Advantage Claims0.03×0.3%11.1%
The Question Left Hanging0.17×8.4%48.0%
Results Worse Than Direction0.24×12.1%51.1%
The Hidden Segment0.41×8.7%21.1%
20150.92%
20161.20%
20171.77%
20181.67%
20191.32%
20201.40%
20212.17%
20221.40%
20231.06%
20241.04%
20250.98%
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+10.1%-7.2%
Interquartile range-8.7% to +28.3%
Share beating SPY62.8% (95% CI 58%–67%)39.5%
Observations46822,449
Table 5. Most recent calls matching the study definition
TickerQuarterCall dateCall grade
DBOEYQ2 20252025-07-25B+
COURQ2 20252025-07-24A
PEGAQ2 20252025-07-23A
TMSNYQ2 20252025-07-23B
PITAFQ2 20252025-07-22A
AGYSQ1 20262025-07-21A
TTANQ1 20262025-06-06B
VEEVQ1 20262025-05-28A

4Discussion

A careful reader should conclude that these calls are, descriptively, a calmer and more confident population: less evasion, less stress, more specificity, and far more guidance raises than the base. That is an association in the data, not a causal mechanism, and it is not a trading signal. The returns gap reflects which companies end up in this bucket — often those already performing well — rather than a demonstrated edge. Our own forward tests falsified directional prediction, so the honest reading is a profile of how confident, backlog-backed calls look, not a recipe for beating the market.

5Limitations

All fields are AI-read and noisy; labels like "Critic Ammunition" or "Deferred Revenue Growing" reflect model judgment, not ground truth. The returns sample covers 468 of these calls against 22,449 base calls, skewed toward liquid names, so outcomes may not generalize. Critically, our own forward tests falsified directional prediction — the strong median-return gap should not be read as an exploitable signal. LLMs also partially remember famous stocks' histories, which can contaminate any backtest of this kind. Treat all figures as descriptive descriptions of this dataset, not forecasts or recommendations. 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). “Smooth Talkers, Full Backlogs: Calls With No Critic Ammo and Growing Deferred Revenue.” Artul.ai Earnings-Call Research Library, Study No. 82. https://artul.ai/research/the-c1-pattern-clean-calls-with-growing-prepayments

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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.