Working Through Bruner's Finance Case Methods
The textbook Case Studies in Finance by Gregory R. Bruner is used in a lot of corporate finance courses. It pairs with his main text Building Financial Models. The idea is straightforward — you learn the theory, then you apply it to real companies through case files. The cases cover valuation, capital structure, M&A, and dividend policy among other topics. I have worked through a significant number of these cases both in academic settings and while advising teams on actual corporate finance problems. When people search for Case Studies In Finance Bruner Solutions, they are usually looking for walkthroughs of specific cases rather than a single answer key. Bruner does not publish a traditional solutions manual in the way some textbooks do. What exists are case guides, instructor supplements, and student-facing explanations that circulate through various channels. The most reliable path is to start with the Bruner website at gregorybruner.com, where he posts case updates, data corrections, and occasionally supplementary materials. That is the source most people miss. The cases themselves follow a consistent structure. Each one gives you a company situation, financial data, and a set of questions that push you to build or manipulate a financial model. The finance concepts behind the cases are standard corporate finance — discounted cash flow valuation, WACC calculation, adjusted present value, option pricing applications, and scenario analysis. What makes these cases useful is that the data is messy. The numbers do not always line up cleanly. You have to make judgment calls about growth rates, terminal values, and risk adjustments.
I ran into a specific issue with the case on the Disney acquisition of Fox. The publicly available data had a timing discrepancy between when certain contractual obligations were recorded and when they actually impacted cash flows. My first model came out about 8 percent off on enterprise value compared to the expected range. The fix was to pull the actual press release timeline and cross-reference it with SEC filings to get the correct dates for when those obligations shifted. Once I aligned the dates, the model fell into place. That kind of data reconciliation is something the case materials hint at but never spell out. Another case that trips people up is the Gillette valuation from the Procter & Gamble acquisition angle. Beginners tend to discount the cash flows using a single blended WACC when they should be segmenting the business. Gillette operated in multiple categories with different risk profiles. Using one WACC across all of them understates the value of the higher-growth segments and overstates the risk-adjusted value of the mature ones. The correct approach is to build separate WACCs for each major business unit and then aggregate the present values. It takes more time but it is the method Bruner expects you to arrive at. If you are working through these cases on your own, start by building the base model before you touch any of the advanced questions. Bruner's cases are designed so that each subsequent question builds on the prior one. Skipping ahead and trying to answer the harder questions without a functioning base model wastes more time than it saves. I usually spend about 45 minutes to an hour setting up the baseline projections, then another 30 to 45 minutes working through the analytical questions. Cases that involve options or real options — like the one on Phibro Energy — can take significantly longer because you need to set up the binomial lattice or Black-Scholes framework properly.
The data sets are usually provided as Excel files. Some of the older cases have corrupted links or files that do not open cleanly in newer versions of Excel. If you hit that, the workaround is to save the file as a CSV first, then re-import it into Excel. It strips away any formatting issues that newer Excel versions struggle with. The numbers stay intact. This saved me probably six or seven hours across a semester of case work. There are trade-offs with Bruner's approach that are worth being honest about. The cases are generally well-written but they assume a decent baseline of Excel proficiency. If you are not comfortable with iterative calculations, goal seek, or basic matrix operations in spreadsheets, you will find yourself stuck on the mechanics before you get to the finance. Another limitation is that some cases feel dated. The textbook editions shift slowly, and certain case companies end up in situations that change rapidly. The financial models in those cases are still pedagogically sound, but you should not treat them as real-time decision tools for current markets. A practical alternative for people who want more current material is to pair Bruner's cases with actual earnings call transcripts and SEC 10-K filings for the companies discussed. The modeling methodology stays the same. The data just becomes more relevant. I do this routinely when I use these cases in training sessions. It takes maybe ten extra minutes per case to pull the latest filings, but it makes the whole exercise feel less like a textbook exercise and more like actual financial work.
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For the cases that involve leveraged buyout analysis, the key insight most people overlook is that the IRR calculation depends heavily on the exit multiple assumption. A one percentage point difference in the assumed exit EBITDA multiple can change the projected IRR by three to five points. Bruner covers this, but the cases do not always make the sensitivity obvious until you run the numbers. Building a simple data table that shows exit multiple versus IRR early in your analysis prevents that surprise later. Capital budgeting cases in Bruner are straightforward compared to the valuation ones. The main pitfall there is forgetting to include working capital changes in the free cash flow calculation. It is an easy omission that throws off every subsequent number. I check for it by verifying that net operating assets equal total assets minus cash and short-term debt, then comparing that to the operating cash flow line items. If they do not reconcile, working capital is usually the culprit. The Brunei Petroleum case on real options is one of the more challenging ones. It requires understanding both the financial modeling side and the option pricing side. The case works best when you treat the investment opportunity as a call option on future cash flows. The underlying asset is the project's expected cash flows. The strike price is the investment cost. The time to expiration is the window during which the company can commit capital. The volatility is the standard deviation of the project's cash flows. Mapping the problem onto those parameters makes the Black-Scholes or binomial application much less abstract. I have seen students spend two to three hours on this case before realizing that the framing was the bottleneck, not the calculation itself.
Dividend policy cases tend to be lighter on modeling and heavier on interpretation. The finance is simpler — you calculate the relevant ratios and policy metrics — but the discussion component carries more weight. The cases push you to evaluate whether a company should pay dividends, buy back stock, or reinvest. There is no single correct answer. The grade or learning outcome depends on how well you justify your recommendation with the data. I recommend grounding your argument in at least two of these factors: free cash flow sustainability, capital investment needs, and shareholder composition. Skipping any of those three tends to produce incomplete analysis. If you are using these cases for a course, the instructor materials are the most valuable resource after the cases themselves. They contain the expected model structures, common student errors, and discussion prompts. You can usually access them through your course portal or by contacting the publisher directly if you are self-studying. The Bruner website also has a FAQ section that addresses common data discrepancies and modeling questions across multiple cases. One final note on the Heinz acquisition by Berkshire Hathaway and 3G Capital case. The case assumes you are comfortable with merger model mechanics — accretion and dilution analysis, synergy valuation, and combined entity pro forma. The synergy component is where most models go wrong. People tend to overstate revenue synergies and understate integration costs. Bruner's case data gives you ranges. Use the low end for revenue synergies and the high end for costs. It is a conservative approach, but it produces a more defensible model than the optimistic middle-ground assumption that most students default to.
