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Thursday, September 11, 2025

Small Caps Catch Up? A Long RTY & Short SPX Play

By Century Financial in 'Investment Insights'

Small Caps Catch Up?  A Long RTY & Short...
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From the start of 2025, small caps (as represented by the RTY Index) have been a widely discussed theme among hedge funds and asset managers worldwide. However, with the onset of the Trump Tariff Threats and other macroeconomic stumbles, like high inflation and unemployment expectations, the small-cap rally did not materialize.

Looking at the YTD performance, the RTY Index is up about 7.2% as of the time of writing, while the S&P500 Index (SPX Index) is up over 10.3% even hitting all-time high levels.

This has led to the natural question of whether the small caps will at least outperform the broader market now?

For the Layman

  • RTY Index trades at just over 23 times current earnings, scheduled for the coming 12 months, which is only about 6% above the SPX Index’s 22 times, representing a slim premium.
  • Over the past decade, the RTY Index has consistently outperformed the SPX Index by more than 30%, presenting a value play.
  • Fundamentally, given the increased expectations of a rate cut in the September 2025 meeting, policy advantage from the One Big Beautiful Bill, increased domestic manufacturing activity, and tax cut expectations, the RTY Index is expected to outperform.
  • Now looking at the ratio between the RTY Index and the SPX Index, a breakout can be witnessed.
  • This supports a long position on the RTY Index and a short position on the SPX Index.

Fundamentals

Interest Rate Cuts

For any company to experience a surge in its share price, it must first have strong fundamentals, which are often reflected in the company's financial performance.

According to Barclays, the total interest expense on the RTY Index represented just over half of the Index’s EBIT in the last 12 months, compared to roughly 10% for the SPX Index. From this, we can infer that interest expense is a significant line item for these firms. According to BlackRock, given that approximately 33% of RTY Index companies are financed with floating rates, compared to only 6% of companies in the SPX Index, a rate cut received in the September meeting could significantly benefit these companies.

Currently, US interest rates are in the 4.25-4.5% range, and according to the September 16-17 meeting, futures markets are pricing in an 86% probability of a 25-bps rate cut.

As of 2024, interest expense as a share of EBITDA for the RTY Index was reported to be around 36%. Given the 2024 EBITDA of $196 billion (excluding financials), the interest expense accounts for about $71 billion. Now, assuming a cost of debt of just 5% for small caps, if the Fed were to cut interest rates by 25 bps, it would reduce the interest expense to $67 billion, pulling the share down to 34%.

Policy Advantage

Furthermore, in the One Big Beautiful Bill, companies’ interest expense creates a tax deduction for interest that’s up to 30% of EBITDA. The current rule says interest is tax-deductible if it’s less than 30% of EBIT. As Industrial companies constitute a large portion of the RTY Index, the RTY Index companies generally have relatively large amounts of depreciation and amortization. That means their EBITDA is much larger than EBIT, providing a larger denominator and allowing more interest dollars to become tax-deductible.

For instance, in 2024, excluding financials, the EBITDA was $196 billion, significantly larger than the EBIT of $87 billion, as depreciation and amortization expense totalled $109 billion.

Increased Domestic Activity

The return divergence between the SPX Index and the US 2000 Index, apart from the macroeconomic factors, can also be attributed to the sectoral exposure. The SPX Index is primarily composed of the Information Technology sector, which constitutes about 35%, followed by the Financials sector with 13%, and the Consumer Discretionary sector with about 11%.

However, looking at the RTY Index, about 20% is constituted by the Industrials sector, 18% by the Financials sector, and 15% by the Healthcare sector.

Hence, looking ahead for Small Caps to outperform, the Industrials, Financials, and Healthcare sectors have to play catch-up to the leaders in software, cloud computing, and AI. But the question is, will they?

Small caps are more closely tied to the US economy, with only 20% of their revenues derived from overseas, compared to 40% for the SPX Index. Reshoring initiatives and investments in supply chain reliability could support a capital expenditure cycle favoring US-focused small caps, which have historically led to higher revenue growth. And this is exactly happening under the Trump administration.

Since Trump took office, his unwavering commitment to revitalizing American industry has spurred trillions of dollars of investments in US manufacturing, production, and innovation. For instance, Apple announced a $600 billion investment in US manufacturing and workforce training, Project Stargate, led by Japan-based Softbank and US-based OpenAI and Oracle, announced a $500 billion private investment in US-based artificial intelligence infrastructure. The list continues with NVIDIA, Micron Technology, IBM, TSMC, and so on. In total, through both domestic and foreign investments from four different countries, various US industries and manufacturers have garnered roughly $5.2 trillion in investments since 20th January 2025. This could significantly improve the top lines for small caps.

Valuations

From a valuation standpoint, even with the recent run-up, the RTY Index still remains relatively inexpensive, so any increase in expected earnings could easily boost the prices of these stocks. The RTY Index trades at just over 23 times current earnings, scheduled for the coming 12 months, which is only about 6% above the SPX Index’s 22 times, representing a slim premium. Over the past decade, the RTY Index has averaged a premium of more than 30% to the SPX Index, according to FactSet data.

Technicals

RTY Index/SPX Index Ratio Chart

Source: Bloomberg
Date: 3rd September 2025

The chart above shows the ratio between the RTY Index and the SPX Index. It is well evident that the ratio has given a breakout. The following resistance levels are at 0.385 and 0.395. While support levels are at 0.360, followed by 0.348.

Scenario Analysis

Note:

  • Costs have been ignored in the above calculations
  • Prices of the SPX Index have been reverse worked using those of the RTY Index
  • Base case price assumptions have been taken for the RTY Index
Risks and Assumptions related to Back-tested trading strategies
The risks and assumptions listed here are not intended to be an exhaustive summary of all the risks and assumptions involved.
The strategy might suffer from look-ahead bias which occurs due to the use of information or data in a study or simulation that would not have been known or available during the period being analyzed. This can lead to inaccurate results in the study or simulation.
Future price movements may not be exactly the same as the historical price movements and this could lead to variation in performance.
Testing can sometimes lead to over-optimization. This is a condition where performance results are tuned so high to the past they are no longer as accurate in the future.
The model assumes no slippages in trading. Slippage refers to the difference between the expected price of a trade and the price at which the trade is actually executed.
The back-tested strategy might be at risk of data dredging, which is the behavior of testing multiple hypotheses at one time, resulting in picking the data that best supports your main hypothesis.
Drawdowns in actual trading can be higher than the tested system and losses could be significant in the event of leverage.
Unforeseen events can lead to variation in performance from the tested trading strategy.
The tested result has been computed with price feeds available from Bloomberg.
The testing environment has not considered transaction or any other costs.
Trading indicators used for the purpose of testing has been provided by Bloomberg.
The strategy might suffer from data mining fallacy, selection bias and backfill bias.
A trading strategy that performs well on multiple datasets from one market (e.g., forex) might not perform as well in another market (e.g., stocks).
The strategy may not depict accuracy in terms of spread changes due to the spread-widening events.

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