Think like an owner

A share is a claim on a business

Imagine being offered a small ownership stake in a neighborhood maintenance company. Before discussing the price, you would ask what it sells, who pays it, what it costs to operate, and how much cash remains after keeping its equipment in good condition. You would want to know whether its biggest customer can leave tomorrow and whether its bank loan comes due next month. A stock deserves the same questions. The ticker makes ownership easier to trade; it does not remove the economics underneath it.

Fundamental research is the process of connecting those economics to the price of the ownership claim. You study the business, test the reported numbers, estimate a range of possible outcomes, and decide whether the price compensates for uncertainty. This course gives you a first research process for ordinary US operating companies. Banks, insurers, REITs, and early-stage biotechnology businesses need additional industry-specific tools. You do not need to force every company through the same spreadsheet.

Our recurring example is Harbor Service & Supply, a fictional US-listed distributor of replacement equipment and maintenance services. All Harbor figures are invented, in US dollars, and simplified for teaching. There is no real ticker to buy. Keeping one business throughout the course lets you see how an operational claim eventually changes a valuation.

Start with the customer's problem

Harbor supplies pumps and replacement parts to commercial buildings and sells annual maintenance contracts. Building managers need equipment to keep operating. Some purchases are urgent because a broken pump interrupts a customer's business. Others can be postponed when budgets tighten. That distinction matters more than a broad label such as “industrial company.” Urgent repairs may hold up during a slowdown while new installations disappear.

A useful business description identifies the customer, the problem, the product, and the payment. “Harbor helps building managers keep essential equipment running by selling parts and annual maintenance” is useful. “Harbor participates in a large and growing addressable market” tells you almost nothing about why it earns money. If you cannot explain the payment in ordinary language, keep researching before projecting ten years of revenue.

Ask who chooses the supplier and who pays the bill. A technician may recommend a part, a procurement team may approve it, and a property owner may ultimately fund it. Each participant has different priorities. Fast delivery might win the technician, while discounts win procurement. A product can be essential without its supplier having much bargaining power.

Break the story into drivers

For a simple product line, revenue equals units sold multiplied by average selling price. Service revenue might equal active contracts multiplied by annual revenue per contract. For Harbor, the first research map therefore has two branches: equipment and parts, and maintenance. You can investigate unit demand, pricing, contract renewals, and the cost of serving each customer separately.

Suppose revenue rose 10%. That could mean 10% more units at unchanged prices. It could mean higher prices with flat units. It could reflect an acquisition or a shift toward expensive products. These are different stories with different durability. A revenue headline is the beginning of the investigation. Ask management for the bridge between the old number and the new one, and compare its explanation with the segment disclosures.

Next identify what costs change with each sale. Parts purchased from suppliers are mostly variable. Warehouse leases and central administration are less flexible over short periods. This creates operating leverage: when sales fall, some costs remain, causing profit to fall faster. The same mechanism can lift profit quickly when sales recover. Neither direction should automatically be extrapolated forever.

Separate facts, interpretations, and forecasts

Make three columns in your notes. A fact is something like “the filing reports $1,000 million of annual revenue.” An interpretation is “emergency replacement demand appears less cyclical than installations.” A forecast is “service revenue will grow 6% next year.” Each statement can be useful, but it belongs in a different category. Putting them together without labels makes an assumption look like audited evidence.

For each important interpretation, record the evidence that would weaken it. If you think Harbor has pricing power, falling retention after a price increase would challenge that view. If you believe maintenance is resilient, customers cancelling contracts during a mild slowdown would matter. You are building a testable view rather than collecting only agreeable facts.

Give forecasts a range and a reason. “Between 2% and 6% growth, depending on renewals and customer spending” is more honest than an unexplained 4.37%. Precision should come from information. A spreadsheet can calculate many decimal places even when your knowledge is limited to a rough direction.

A good company can still be a poor investment

Suppose Harbor earns $1.20 per share. At a $12 price, investors pay ten dollars for each dollar of current annual earnings. At $36, they pay thirty. The business has not changed between those two observations, but the expectations embedded in the price have. The higher price usually needs stronger growth, better durability, a lower required return, or some combination to make sense.

You will learn to connect these expectations to valuation later. For now, keep two separate questions on the page: “Would I want to understand and own this business?” and “What price would make that ownership attractive under reasonable assumptions?” Answering the first does not settle the second. Admiring a product, using a service, and finding an attractive stock are related activities with different evidence requirements.

Build a research boundary

Write down what you can and cannot assess. You may understand replacement demand but have little basis for estimating litigation or a complex acquisition. That is a legitimate reason to pause. A research process should allow “I do not know” and “pass.” Otherwise every spreadsheet becomes a machine for manufacturing a buy decision.

The goal of this first lesson is a short business map, not a target price. Name the customer, revenue drivers, major costs, and biggest uncertainty. In the next lesson you will learn where to find evidence for that map in US public-company filings. Keep a blank page beside you: the course ends with a memo built from these same notes.