IBM Financial Analysis and Industry Identification Study

What makes this paper effective

• The IBM section builds a coherent narrative by linking specific ratio trends — ROE, revenue, gross margin, and EPS — to a single root cause: a slowdown in capital spending after 1998.
• The industry identification table is well-organized, providing a concise rationale for each classification rather than listing ratios without explanation.
• The paper distinguishes industries that superficially resemble one another (e.g., department store vs. discount retailer, internet retailer vs. internet service provider) by citing the specific ratio differences that separate them.

Key academic technique demonstrated

The paper demonstrates ratio-based comparative analysis — the practice of using multiple financial metrics in combination (debt levels, turnover, margins, equity ratios) to characterize and differentiate firms and industries. Rather than relying on a single indicator, each classification decision is supported by a converging set of ratios, which is the standard method in fundamental financial analysis.

Structure breakdown

Part 1 covers IBM in three paragraphs, each addressing a different metric (ROE, revenue/gross margin, EPS), all anchored to the 1996–2000 period. Part 2 shifts to a structured table matching company numbers and letter codes to fourteen named industries, each with a brief rationale. The two-part structure allows the paper to move from a single-company time-series analysis to a cross-sectional industry classification exercise.