Tennant’s Charts Fail to Forecast the Next Move

Sparse signal coverage leaves price patterns without predictive edge

TNC Tennant Company

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

Tennant Company (TNC) — 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-derived signals—12‑month momentum, realized volatility, and relative strength—against fundamental outcomes for Tennant Company over a 45‑quarter span reveals an absence of statistically robust predictive relationships. Correlations between each signal and the three core fundamentals (revenue growth, margin change, and ROE change) remain weak, with absolute r values below 0.31 and p‑values generally exceeding conventional significance thresholds (p > 0.05). Consequently, none of the signals qualify as strong predictors, and the data do not support a consistent cross‑company pattern where any particular price metric reliably anticipates fundamental shifts.

12‑month momentum correlates with revenue growth at r=0.287 (p=0.069) but fails to reach statistical significance.
Realized volatility shows a negative correlation with revenue growth (r=-0.255, p=0.108), suggesting higher price swings may accompany slower top‑line expansion, though the link is not significant.
All signal–fundamental pairs have |r| < 0.31, well below the threshold for notable predictive strength (|r|≥0.4).
No consistent cross‑company predictive pattern emerges; Tennant Company exhibits uniformly weak and non‑significant relationships.

Limitations: The sample comprises only 45 quarterly observations, limiting statistical power and increasing susceptibility to random noise. Correlations do not imply causation; observed links may be driven by external macroeconomic regimes rather than intrinsic price–fundamental dynamics. Potential regime shifts (e.g., post‑pandemic market conditions) could alter the relevance of these signals, rendering historical relationships less applicable to future periods.

TNC

For Tennant Company, 12‑month momentum shows a modest positive correlation with revenue growth (r=0.287, p=0.069, n=41) and negative links to margin change (r=-0.260, p=0.101) and ROE change (r=-0.306, p=0.052). Realized volatility is negatively associated with revenue growth (r=-0.255, p=0.108) but exhibits weak positive ties to margin change (r=0.225, p=0.157) and negligible relation to ROE (r=0.088, p=0.583). Relative strength delivers the weakest associations across all fundamentals, with the strongest being a positive link to revenue growth (r=0.217, p=0.173). None of these correlations achieve conventional statistical significance, indicating that price movements have limited explanatory power for upcoming fundamental performance in this business.

Price Signals vs Fundamental Outcomes

Tennant Company (TNC) — Correlation Heatmap

Institutional Flow vs Price Impact

Tennant Company (TNC) — 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 institutional flow analysis for Tennant Company (TNC) reveals an absence of a statistically robust relationship between fund activity and subsequent price movements. Both the predictive correlation (r = -0.1382) and the concurrent correlation (r = 0.0423) fall well below the threshold for notable signal strength (|r| ≥ 0.4), and their associated p‑values (p = 0.4016 and p = 0.7955, respectively) indicate that any observed association is not distinguishable from random noise given the sample size of roughly four dozen quarterly observations. Consequently, institutional trading does not appear to lead price changes nor to merely follow them in a systematic way for this security.

Institutional Flow Metrics

Predictive correlation is -0.1382 (p=0.4016, n≈39), indicating no statistically significant lead effect.
Concurrent correlation is 0.0423 (p=0.7955, n≈40), showing no meaningful lagging relationship.
Both correlations are far below the |r| ≥ 0.4 threshold for notable predictive power.
The lack of a clear pattern suggests institutional investors neither possess a distinct informational advantage nor act purely as momentum followers for TNC.

Limitations: Quarterly institutional flow data provides limited temporal granularity, potentially masking short‑term dynamics. Sample size is modest (≈40 observations), reducing statistical power and increasing sensitivity to outliers. Correlation does not imply causation; even a statistically significant relationship could arise from external factors influencing both flows and price.

TNC

For Tennant Company, the predictive (lead‑lag) test yields a weak negative correlation of -0.1382 with a p‑value of 0.4016 across 39 quarters, suggesting that institutional inflows or outflows have no reliable forward‑looking impact on the stock price. The concurrent analysis shows an even smaller positive correlation of 0.0423 (p = 0.7955) over 40 quarters, implying that institutions are not consistently reacting to price movements either. In practical terms, investors cannot infer an informational edge from institutional flow data for TNC; any observed trades are likely driven by unrelated portfolio considerations rather than superior insight or momentum strategies.

Earnings Surprise Patterns

Tennant Company (TNC) — 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.

Tennant Company has demonstrated a strong earnings beat record over 42 reporting events, delivering beats in roughly 71% of cases. The average surprise magnitude is sizable, with EPS exceeding expectations by nearly 30% and revenue by over 17%, indicating that the firm frequently outperforms consensus forecasts. Return dynamics surrounding these releases show modest pre‑announcement drift (average +3.15% for positive surprises) but a muted to negative reaction at the announcement (+1.97% for positives, -4.74% for negatives), followed by a small reversal post‑announcement, suggesting that markets partially price in the surprise before the release and then adjust shortly after.

Returns by Surprise Direction

Tennant’s beat rate exceeds 70%, with large average EPS (+29.6%) and revenue (+17.4%) surprises.
Pre‑announcement drift is modest (+3.15% for positive surprises) but lacks predictive power (r=0.216).
Announcement reactions are mixed, showing slight positive moves for beats and negative moves for misses, followed by limited post‑drift adjustments.

TNC

The beat rate of 71.4% reflects consistent earnings strength, yet the lack of consecutive beats or misses points to variability in timing rather than a persistent trend. Pre‑drift returns do not reliably predict surprise direction; the correlation between pre‑announcement price movement and actual surprise is only 0.2159, well below the threshold for a notable predictive signal. The surprise trend is classified as stable, indicating that the magnitude of surprises has neither widened nor narrowed markedly over the sample period.

Earnings Surprise Patterns

Tennant Company (TNC) — Event Study

Multi-Signal Integration

Tennant Company (TNC) — Signal Coverage

The signal integration review for Tennant Company (TNC) reveals a sparse predictive landscape. Across the evaluated dimensions—price-fundamental relationships, institutional activity, pre-drift behavior, and earnings consistency—the firm exhibits limited notable signals, with only modest evidence of earnings patterning. Data quality is uniformly strong, but coverage remains low, constraining the robustness of any inferred patterns. Given the paucity of convergent indicators, TNC's overall predictability is modest at best. The isolated strength in data integrity does not translate into actionable predictive power due to the limited number and mixed nature of the signals identified.

Tennant Company displays low overall predictability due to the absence of notable price-fundamental and institutional signals.
Strong data quality mitigates noise but cannot compensate for limited signal coverage across the evaluated dimensions.
Mixed earnings consistency further dilutes the reliability of any single predictive metric, emphasizing the need for caution when extrapolating future performance.

TNC

For Tennant Company, no price-fundamental signal achieved a notable or strong predictive threshold, indicating that historical valuation metrics have not demonstrated reliable forward-looking power. Institutional predictive signals are absent, and pre-drift (early price movement) indicators also lack significance, suggesting limited market positioning information prior to earnings releases. Earnings consistency is mixed, reflecting variability in quarterly performance that undermines a stable earnings momentum signal. Signal coverage is low, meaning few data points across the examined dimensions meet statistical relevance criteria, though the underlying data quality is strong, reducing measurement error concerns. The beat rate of 71%—the proportion of quarters where actual earnings exceeded consensus forecasts—provides a modest concurrent indicator but does not constitute a leading predictive signal.

Signal Discovery Summary

Tennant Company (TNC) — Summary & Recommendations

The signal discovery exercise applied lagged Pearson correlations to quarterly fundamentals, institutional flow metrics, and earnings‑event windows for Tennant Company (TNC). Across the allowable sample sizes—minimum eight quarters for price–fundamental links—the analysis did not identify any statistically notable predictive relationships; no correlation met the |r| ≥ 0.4 threshold required for a signal to be considered noteworthy. Consequently, TNC ranks at the low end of predictability among the surveyed universe, and there are no cross‑company patterns that include this ticker. The absence of robust signals suggests that short‑term price movements for TNC are not reliably driven by the examined fundamental or flow variables within the sample window.

Predictability Rankings

TNC low

No lagged fundamentals, institutional flows, or earnings‑event metrics exhibited predictive power for price movements.

Monitoring Recommendations

Track quarterly revenue and margin trends to gauge underlying business health, even though they did not predict price in this sample.
Observe institutional ownership changes as a potential leading indicator of sentiment shifts, acknowledging the lack of statistical support here.
Monitor earnings‑release volatility and post‑announcement price drift for any emerging patterns beyond the historical window.

Key Takeaways

1. No predictive signals met the predefined significance criteria for TNC, indicating low short‑term forecastability from the tested variables.
2. The methodology’s reliance on bivariate Pearson correlations may miss multivariate dynamics that could be informative.
3. Small sample sizes (minimum eight quarters) limit statistical power and increase sensitivity to regime changes.
4. Absence of cross‑company patterns underscores the idiosyncratic nature of TNC’s price drivers within the examined horizon.

The analysis uses bivariate Pearson correlations with lagged variables, requiring |r| ≥ 0.4 for notability and |r| ≥ 0.6 for strength. Sample sizes are limited to eight quarterly observations for fundamentals and five for flow data, which reduces confidence in estimated relationships. Correlation does not imply causation, and the identified (or absent) signals may be regime‑dependent; structural shifts or macroeconomic changes could alter these dynamics.

TNC

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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.

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