GET DAILY SIGNALSFNDA vs SCHA: Weighing Fundamental Weighting Against Broad Market-Cap Small-Cap Exposure
Key Takeaways
- Different construction philosophies: FNDA uses a fundamental, smart-beta weighting tied to company sales, cash flow, and shareholder payouts, while SCHA is a market-capitalization-weighted index of the broad small-cap universe.
- Cost advantage is significant: SCHA charges a 0.03% expense ratio versus 0.25% for FNDA, a meaningful structural edge over long holding periods.
- Broader diversification: SCHA holds roughly 1,700 names versus approximately 900 for FNDA, spreading single-stock risk across a wider base.
- Sector tilts differ: SCHA leans more heavily into technology and healthcare, while FNDA tilts toward industrials and financials with a distinct value orientation.
- Tickeron AI Verdict: SCHA — its lower cost, broader diversification, and technology-linked momentum give it a structural edge in the current environment.
Introduction
Both of these funds target U.S. small-cap equities, but they pursue that goal through materially different methods, making them a useful ETF comparison for investors building a core domestic allocation. FNDA filters and weights companies by fundamental size rather than market value, introducing a value tilt and a contrarian rebalancing discipline. SCHA, by contrast, tracks a broad market-cap-weighted small-cap index, aiming to capture the segment as a whole. Because they serve overlapping investor goals but deliver distinct sector exposure and risk profiles, evaluating their relative positioning is especially timely as small-cap leadership rotates and interest rate expectations shift.
Schwab Fundamental U.S. Small Company ETF (FNDA) Overview
FNDA is a passively managed, fundamentally weighted ETF that tracks the RAFI Fundamental High Liquidity U.S. Small Index. The RAFI methodology selects and weights companies using fundamental metrics — adjusted sales, retained operating cash flow, and dividends plus buybacks — rather than market capitalization. This approach produces a built-in value tilt and disciplined, rules-based rebalancing that trims holdings that have grown expensive and adds to those that have become cheaper. When I reviewed the holdings, I also checked this using Tickeron’s AI Screener to see how the stock compares to others in the industry.
The fund holds approximately 900 stocks, with top positions including LITE (Lumentum), AMKR (Amkor Technology), COHR (Coherent), MKSI (MKS Instruments), and VSAT (Viasat). Its sector allocation is led by industrials (roughly 19%), followed by financial services, technology, and consumer discretionary, with notable exposure to real estate and energy. The expense ratio is 0.25%, and the fund carries a weighted average market capitalization in the small-to-mid range, giving it a somewhat larger-cap profile than many pure small-cap peers.
Schwab U.S. Small-Cap ETF (SCHA) Overview
SCHA is a passively managed, market-cap-weighted ETF that seeks to track the Dow Jones U.S. Small-Cap Total Stock Market Index, which covers U.S. stocks ranked roughly 751 to 2,500 by market capitalization. This broad mandate delivers exposure across the small-cap spectrum without a profitability or fundamental screen, making it a straightforward "total small-cap" building block.
The fund holds approximately 1,700 securities, an extremely diversified portfolio in which the top ten positions account for only a small single-digit percentage of assets. Prominent holdings include SNDK (SanDisk), LITE (Lumentum), RVMD (Revolution Medicines), and Guardant Health. Sector exposure is led by technology (about 20%), followed by financial services, healthcare, and industrials, with consumer cyclical and real estate completing the top tier. SCHA's expense ratio is just 0.03%, among the lowest available in the small-cap category, and it has amassed substantial assets under management (AUM), supporting strong liquidity and tight bid-ask spreads.
Industry and Thematic Backdrop
U.S. small caps sit at the intersection of several powerful macro forces. Interest rate policy remains the dominant driver: smaller companies typically carry more floating-rate or refinanceable debt, so shifting rate expectations influence their funding costs and valuations directly. At the same time, a broadening of market leadership beyond a handful of mega-cap technology names has directed renewed capital flows into smaller, domestically oriented businesses. Sector-level catalysts matter too — semiconductor and hardware-linked names, which feature in both funds, respond to artificial intelligence infrastructure spending and cyclical demand, while financials benefit from changes in the yield curve and regional banking conditions. Key risks include a slowing economy, sticky inflation, and earnings volatility among less-established companies, all of which can magnify small-cap drawdowns relative to large caps.
Performance and Positioning Comparison
Over recent weeks and months, both funds have participated in the broader small-cap rally, but their relative performance has diverged along sector lines. SCHA's heavier technology and healthcare weighting has aligned it with momentum in AI-related hardware and biotechnology, while its growth-oriented composition has made it somewhat more volatile and prone to deeper drawdowns during risk-off stretches. FNDA's fundamental weighting has kept it comparatively steadier, with its industrials, financials, and energy exposure providing ballast and a more defensive character during value-led rotations.
In terms of relative positioning, SCHA offers higher beta (sensitivity to market moves) and greater cyclical upside, whereas FNDA's value tilt and disciplined rebalancing tend to smooth extremes. Cost is also a persistent differentiator: SCHA's near-zero fee compounds favorably over time, while FNDA's higher fee must be justified by its factor-based return potential.
Using Tickeron’s AI Screener for ETF Analysis
I often turn to Tickeron’s AI Screener when comparing ETFs like these, as it helps me quickly filter based on technical patterns, fundamentals, trends, volatility, and AI-driven signals. This tool makes it straightforward to scan thousands of stocks and ETFs with customizable criteria such as industry, market capitalization, and performance metrics, surfacing ideas that align with a given strategy far more efficiently than manual work. From what I see, it adds useful context when evaluating holdings and sector tilts in real time.
Tickeron AI Verdict
Based on observable structural factors, Tickeron's AI would currently favor SCHA. Its 0.03% expense ratio is a durable, compounding advantage over FNDA's 0.25% fee, and its roughly 1,700-stock portfolio provides broader diversification that dilutes single-name risk. SCHA's greater exposure to technology and healthcare aligns with prevailing momentum and capital flows, and its trend consistency has remained resilient across recent market cycles. FNDA remains a compelling choice for investors specifically seeking a fundamental, value-oriented tilt with disciplined rebalancing, but on a blend of cost efficiency, diversification, and sector momentum, SCHA currently holds the edge in this matchup.
Disclaimer
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
Contributor
Financial analyst and market blogger with expertise in equity research, fundamental analysis, and macroeconomic trends. I regularly publish coverage on individual stocks, ETFs, and sector developments — combining rigorous financial analysis with clear, engaging writing for a broad investment audience.
SCHA's MACD Histogram just turned positive
The Moving Average Convergence Divergence (MACD) for SCHA turned positive on October 21, 2026. Looking at past instances where SCHA's MACD turned positive, the stock continued to rise in 40 of 43 cases over the following month. The odds of a continued upward trend are 90%.
Technical Analysis (Indicators)
Bullish Trend Analysis
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where SCHA's RSI Indicator exited the oversold zone, 23 of 26 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are 88%.
The Momentum Indicator moved above the 0 level on October 26, 2026. You may want to consider a long position or call options on SCHA as a result. In 80 of 94 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are 85%.
Following a +1.45% 3-day Advance, the price is estimated to grow further. Considering data from situations where SCHA advanced for three days, in 269 of 318 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.
Bearish Trend Analysis
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 6 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
SCHA moved below its 50-day moving average on October 30, 2026 date and that indicates a change from an upward trend to a downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where SCHA declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 83%.
SCHA broke above its upper Bollinger Band on October 29, 2026. This could be a sign that the stock is set to drop as the stock moves back below the upper band and toward the middle band. You may want to consider selling the stock or exploring put options.
The Aroon Indicator for SCHA entered a downward trend on October 23, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
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