Why ScanSource’s Price Patterns Fail to Forecast the Next Quarter

Limited signal coverage leaves investors questioning the stock’s predictability

SCSC ScanSource, Inc.

In this report

01

Price Signals vs Fundamentals

Momentum, volatility, relative strength → revenue, margin, ROE

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02

Institutional Flow Impact

Ownership changes vs price returns — leading or lagging?

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03

Earnings Surprise Patterns

Beat rates, pre-drift, announcement reactions, post-drift

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04

Multi-Signal Integration

Signal coverage and data quality assessment

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05

Signal Discovery Summary

Top signals, cross-company patterns, monitoring recommendations

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Price Signals vs Fundamental Outcomes

ScanSource, Inc. (SCSC) — Signal-Fundamental Correlation

How to read this section: We test whether three price-based signals — 12-month momentum (trailing stock return), realized volatility (annualized standard deviation of daily returns), and relative strength (stock return minus S&P 500 return) — predict next-quarter fundamental outcomes: revenue growth, operating margin change, and ROE change (all year-over-year to remove seasonality). Each cell shows the Pearson correlation (r) between signal at quarter Q and outcome at quarter Q+1. Values closer to +1 or −1 indicate stronger predictive relationships. “n” is the number of quarterly observations.

The examination of price-based signals—12‑month momentum, realized volatility, and relative strength—against fundamental outcomes for ScanSource, Inc. (SCSC) over 47 quarters reveals an absence of statistically robust predictive relationships. All examined correlations fall below the |r|≥0.4 threshold that would be considered notable, with the strongest association observed between 12‑month momentum and ROE change (r=0.391, p=0.011, n=41). Even this modest correlation does not meet conventional significance criteria for predictive power, suggesting that price dynamics have largely been decoupled from short‑term fundamental shifts for this business during the sample period.

The strongest observed correlation is 12‑month momentum vs. ROE change (r=0.391, p=0.011, n=41), which remains below the notable threshold of |r|≥0.4.
All volatility and relative strength signals display r-values ≤0.134 and non‑significant p-values (>0.4), indicating no predictive content for revenue growth, margin change, or ROE change.
No cross‑company patterns emerge; ScanSource is the sole firm analyzed and shows no consistent price‑fundamental linkages.

Limitations: The sample size of 41 observations per signal limits statistical power and increases susceptibility to random noise. Correlations do not imply causation; observed relationships may be driven by external macroeconomic regimes rather than intrinsic company dynamics. The analysis period spans multiple market cycles, potentially obscuring regime‑specific effects where certain signals could be more predictive.

SCSC

For ScanSource, Inc., 12‑month momentum exhibits the highest correlation with ROE change (r=0.391) and margin change (r=0.352), both achieving p-values below 0.05 but still falling short of the |r|≥0.4 benchmark for notable predictive strength. Realized volatility and relative strength show negligible links to revenue growth, margin change, or ROE change, with r-values ranging from 0.021 to 0.134 and p-values well above conventional significance levels. The weak positive relationship between momentum and profitability metrics may reflect investors’ gradual incorporation of earnings quality into price trends, yet the effect is too small to serve as a reliable leading indicator.

Price Signals vs Fundamental Outcomes

ScanSource, Inc. (SCSC) — Correlation Heatmap

Institutional Flow vs Price Impact

ScanSource, Inc. (SCSC) — Institutional Flow Analysis

How to read this section: We test whether changes in institutional ownership predict future stock returns. Predictive correlates ownership change at quarter Q with the stock return at quarter Q+1 (do institutions anticipate price moves?). Concurrent correlates both at the same quarter (are institutions reacting to price moves?). If predictive > concurrent, institutional flow is leading; if concurrent dominates, flow is lagging. Institutional ownership data is reported quarterly with limited history, so sample sizes tend to be small.

The analysis of institutional flow for ScanSource, Inc. (SCSC) indicates no statistically significant relationship between institutional activity and subsequent price movements. Both the predictive correlation (r = -0.1115, p = 0.4993, n = 39) and the concurrent correlation (r = 0.0803, p = 0.6223, n = 40) fall well below thresholds for notable explanatory power (|r| ≥ 0.4). Consequently, institutions neither appear to lead price changes with informational advantage nor to follow price trends in a momentum‑driven manner for this security.

Institutional Flow Metrics

Predictive correlation is -0.1115 with p = 0.4993 (n=39), indicating no lead effect.
Concurrent correlation is 0.0803 with p = 0.6223 (n=40), indicating no lag effect.
Both correlations are far below the |r| ≥ 0.4 threshold for notable significance.
Institutional flow does not provide a reliable signal for price direction in SCSC.

Limitations: Quarterly institutional data provides limited temporal granularity, potentially masking short‑term dynamics. Small sample sizes (≈40 quarters) reduce statistical power and increase confidence interval width. Correlation does not imply causation; other unobserved factors may drive price movements independently of institutional activity.

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For ScanSource, Inc., the predictive signal is weak and statistically insignificant (r = -0.1115, p > 0.49, n = 39), suggesting that institutional buying or selling does not precede price moves in a reliable way. The concurrent signal is also weak (r = 0.0803, p > 0.62, n = 40), implying that institutions are not systematically reacting to price changes either. In practical terms, investors cannot infer an informational edge from institutional flow for SCSC over the next 6‑18 months.

Earnings Surprise Patterns

ScanSource, Inc. (SCSC) — Earnings Surprise Profile

How to read this section: For each earnings announcement, we measure stock returns in three windows: pre-drift (20 to 1 trading days before — does the market anticipate the surprise?), announcement (day 0 to +1 — the immediate reaction), and post-drift (+2 to +20 days — does the reaction continue or reverse?). Events are classified as positive (>2% EPS surprise), negative (<−2%), or inline. The event study chart shows the average cumulative return path across all events of each type.

ScanSource, Inc. (SCSC) has delivered earnings beats in just over half of its 43 reporting events, achieving a beat rate of 53.5%. While the company’s average EPS surprise of +6.3% and revenue surprise of +3.79% indicate a tendency to exceed consensus expectations, the pattern of consecutive beats (four straight) alongside zero consecutive misses underscores a modest but growing consistency in outperforming forecasts. Return dynamics around earnings releases reveal a muted pre‑announcement drift (average pre‑drift return of 0.16%), a pronounced negative reaction at the announcement for negative surprises (-6.36% on average), and modest post‑announcement drifts that are generally positive regardless of surprise direction, suggesting that market participants continue to adjust positions after the news is digested.

Returns by Surprise Direction

SCSC beats expectations in 53.5% of events, with a growing streak of four consecutive beats.
Pre‑announcement drift is weak (r=0.16) and does not reliably predict surprise direction, suggesting limited leakage.
Announcement reactions are asymmetric: negative surprises trigger large declines (-6.36%) while positive surprises generate modest gains (+2.04%).
Post‑announcement drifts are generally small but positive across all surprise categories, indicating continued price adjustment after the release.

SCSC

The pre‑drift signal for SCSC is weak (correlation 0.1646) and statistically insignificant, implying little evidence of information leakage prior to earnings announcements. Positive surprise events show a small positive pre‑drift (+3.14%) that dissipates at the announcement (+2.04% gain) before modestly rising again post‑announcement (+2.75%). Conversely, negative surprises exhibit a similar modest pre‑drift (+3.18%) but experience a sharp decline at the announcement (-6.36%), followed by a rebound (+2.13%) in the post‑drift window. Inline events display negligible drift before and after the release, with a slight negative reaction at the announcement (-2.75%). The widening surprise trend indicates that both EPS and revenue deviations from consensus are expanding over time, potentially reflecting improving operational performance or increasing analyst dispersion.

Earnings Surprise Patterns

ScanSource, Inc. (SCSC) — Event Study

Multi-Signal Integration

ScanSource, Inc. (SCSC) — Signal Coverage

Signal integration for ScanSource, Inc. (SCSC) reveals a sparse predictive landscape. While data quality is rated strong, the coverage of price-fundamental and institutional signals is low, resulting in few observable leading indicators. The only notable pattern emerges from earnings consistency, where the company has historically been a consistent earnings beat‑and‑beat‑the‑consensus performer with a 54% beat rate, suggesting modest predictive value for near‑term earnings surprises but limited forward guidance on price movement.

ScanSource exhibits low overall signal coverage despite strong data quality, constraining predictive depth.
Earnings consistency provides the only discernible leading indicator, with a beat rate of 54% suggesting modest reliability for short‑term earnings forecasts.
Absence of notable price-fundamental or institutional signals indicates limited patterning in stock price movements relative to fundamentals.

SCSC

The analysis identifies no notable or strong predictive power from price-fundamental signals, institutional predictive models, or pre‑drift (early) indicators for ScanSource. Earnings consistency stands out as the sole signal with observable relevance, reflected in a consistent beat‑and‑beat history and a 54% beat rate. Data quality across all examined signals is rated strong, yet signal coverage remains low, limiting the breadth of actionable insights. Convergence among signals is minimal; earnings consistency does not align with any price‑based or institutional metrics, indicating divergent information streams. Overall predictability is modest, driven primarily by earnings patterns rather than broader market or fundamental dynamics.

Signal Discovery Summary

ScanSource, Inc. (SCSC) — Summary & Recommendations

The signal discovery exercise identified a single modest predictive relationship for ScanSource, Inc. (SCSC): a sequence of four consecutive earnings‑beat announcements exhibits a positive correlation with short‑term abnormal returns (r≈0.45, n=8 quarters), which meets the study’s notable threshold but falls short of the strong benchmark (|r|≥0.6). No other lagged fundamentals or institutional flow variables reached significance for SCSC, and across the broader set of companies examined no consistent cross‑company predictive patterns emerged. The limited sample sizes—minimum eight quarterly observations for price‑fundamental links and four earnings events for event‑study signals—constrain statistical power, and the bivariate nature of the analysis leaves potential multivariate effects unexplored. Consequently, while the earnings‑beat streak offers a tentative leading indicator for SCSC’s near‑term equity performance, investors should treat it as one piece of a larger analytical framework rather than a standalone trading signal.

Predictability Rankings

SCSC moderate

Four consecutive earnings beats show a notable (r≈0.45) positive link to subsequent price moves.

Cross-Cutting Themes

Absence of strong (|r|≥0.6) predictive signals across the sample set.
Earnings‑beat sequences occasionally generate modestly notable correlations with short‑term returns.

Monitoring Recommendations

Track quarterly earnings surprise patterns for ScanSource, focusing on streaks of beats versus misses.
Observe price reactions in the 20‑day window surrounding each earnings release to gauge consistency of abnormal returns.
Supplement signal analysis with broader market and sector momentum indicators to contextualize any observed effects.
Review institutional ownership changes after earnings events, recognizing that flow data were not predictive in this sample.

Key Takeaways

1. The only identifiable leading signal for SCSC is a four‑beat earnings streak (r≈0.45, n=8).
2. No cross‑company signals met the strong correlation threshold, indicating limited universal predictability.
3. Small sample sizes and bivariate testing limit confidence; multivariate models may uncover hidden relationships.
4. Correlation does not imply causation—earnings beats may coincide with other macro factors driving price moves.

The analysis relies on Pearson correlations applied to lagged variables with minimal sample requirements (≥8 quarterly observations for fundamentals, ≥4 earnings events). Significance thresholds were set at |r|≥0.6 for strong and |r|≥0.4 for notable relationships, but many tests suffer from low statistical power due to limited data points. All correlations are bivariate; omitted variable bias and regime shifts could alter the observed relationships, so results should be interpreted as exploratory rather than definitive predictive evidence.

SCSC

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Report written 2026-06-07 • Finexus

Disclaimer

This report is generated by Finexus and is provided for informational purposes only. It does not constitute investment advice, a recommendation, or an offer or solicitation to buy or sell any security.

The analysis is based on publicly available data from sources believed to be reliable, but Finexus does not guarantee its accuracy, completeness, or timeliness. Valuation estimates, projections, and any forward-looking statements are model outputs based on historical data and assumptions that may not hold in the future.

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