Screener & Tools

Stock screener: selection criteria and a complete method

Screening stocks effectively means choosing the right criteria, combining them intelligently and avoiding the classic pitfalls. This guide lays out the 4-pillar method used by Screener Small Caps, which you can apply to any universe of stocks.

May 2026
⏱ 10 min read
Intermediate

The 4-pillar method

The 4 pillars of Screener Small Caps map to the 4 fundamental dimensions of analysing a stock: is it cheap? is it growing? is it financially sound? is it moving in the right direction? A good screener covers each of these dimensions, even with a single criterion per pillar.

PillarQuestion it answersTypical criteria
ValuationAm I paying a reasonable price?EV/EBITDA, P/E, Price-to-Book, FCF yield
GrowthIs the company growing?Revenue CAGR 3–5y, EBITDA growth, margin expansion
StrengthCan it survive a downturn?ND/EBITDA, current ratio, positive FCF, accruals ratio
MomentumIs the market (re)discovering it?6–12 month perf vs index, distance from 52-week high, beta

Pillar 1 — Valuation

Valuation measures what you pay relative to what you get. The two ratios most used for small caps are EV/EBITDA and the P/E.

CriterionValue thresholdReasonable thresholdWarning signal
EV/EBITDA< 6×6× – 12×> 20× (unless strong growth)
P/E< 12×12× – 20×> 30× (unless biotech/tech)
Price-to-Book< 1×1× – 2×> 4× (unless ROE > 20%)
FCF yield> 8%5% – 8%< 2% (or negative FCF)

EV/EBITDA rather than P/E for small caps: the P/E is sensitive to capital structure and one-off items, both common in growing small caps. EV/EBITDA is more robust for comparing companies with different capital structures.

Pillar 2 — Growth

5-year revenue growth (revenue_cagr_5y) is one of the most predictive features of the XGBoost model among those tested. Sustained organic growth reflects a structural competitive advantage and consistent management execution.

Growth criterionTarget threshold (small caps)Reading
Revenue CAGR 5y> 10%Feature #1 of the ML model
Revenue CAGR 3y> 8%Confirms the recent trend
EBITDA growth vs revenueEBITDA > revenue (operating leverage)Sign of economies of scale
EBITDA margin trendPositive over 3 yearsStructural improvement

Pillar 3 — Financial strength

Financial strength determines a company's ability to weather shocks without dilution or restructuring. It is the most important criterion for limiting the risk of permanent capital loss.

CriterionHealthy thresholdWarning zone
Net debt / EBITDA< 2×> 3× (covenant risk)
Current ratio> 1.5×< 1× (short-term liquidity risk)
Positive FCFYes, 2 consecutive yearsChronically negative FCF
Accruals ratioClose to 0> 0.10 (accounting vs economic earnings)

Pillar 4 — Momentum

The momentum effect — the tendency of stocks that have recently outperformed to keep outperforming — is one of the best-documented phenomena in behavioural finance. On European small caps, the 6-to-12-month horizon is the most relevant.

Momentum criterionPositive signalNegative signal
12-month perf vs benchmark> + 5 pts< − 10 pts (caution)
Distance from 52-week highLess than 20% below the highMore than 40% below the high
3-month volatilityModerate (10–25%)Very high (> 40%) or very low

Quick scoring grid

Rate a stock quickly across the 4 pillars with this 0–3 scoring grid:

Composite score
8 / 12
Good candidate — in-depth analysis recommended

Frequently asked questions

Between 4 and 8 criteria is an effective range. Too few criteria (1–2) returns too broad a universe. Too many criteria (10+) can exclude valid opportunities for marginal reasons. The goal is to narrow the universe down to 15–25 candidates you can actually analyse.
The XGBoost model uses dozens of features spread across 4 pillars: valuation (EV/EBITDA, P/E, P/B), growth (revenue_cagr_5y, ebitda_margin_trend), strength (net debt/EBITDA, current ratio, accruals) and momentum (1–12 month performance, volatility, distance from the 52-week high).
A screener is a quantitative pre-selection step — it identifies the candidates worth analysing. Fundamental analysis is the next step: understanding the business, the sector, management and the qualitative risks that the numbers do not capture.
Yes. In a bull market, growth criteria matter more. In a correction or bear market, financial-strength criteria (low debt, positive FCF) and low valuation carry more weight. The ML model incorporates macro indicators to adapt to the regime.
Always combine a valuation criterion with a quality criterion (ROE, ROCE or positive FCF yield) and a momentum criterion (recent performance that is not catastrophic). A cheap stock with very negative momentum is often a value trap.

Go further