The real story here is not about a formula. It is about what happens when a century of handwritten ledgers becomes a dataset waiting to be questioned. The user has already done the hard part: digitizing roughly one hundred years of balance sheets, converting expenditures into a decimal system, and organizing the material into a structured file. The question about pulling revenue figures for three specific towns is not a technical hurdle. It is the moment the project shifts from preservation to analysis.
For anyone who has worked with historical financial records, the appeal of this task is immediate. You are not just cleaning data. You are building a bridge between the past and a question you have not yet asked. The formula the user wants, something that searches a sheet named after a year and returns the value for a given town, is straightforward in any modern spreadsheet tool. A combination of `INDIRECT` and `INDEX` or `VLOOKUP` can handle it. But the deeper value is what that formula unlocks: the ability to trace revenue flows across decades, spot shifts in land-based income, and compare the economic weight of each town over time. That is not a spreadsheet exercise. That is historiography.
What makes this approach worth noting is the user's willingness to treat the spreadsheet as a thinking tool, not a storage bin. The suggestion to study revenue evolution came from someone else, but the user acted on it. That is the mindset that matters. The tool is not the innovation. The curiosity is. And the formula is simply the mechanism that turns curiosity into a reproducible method. Once the formula works for one town, it works for all towns. Once it works for one year, it works for every year. The manual work shrinks, and the analytical space expands.
The practical takeaway is direct: build that formula now, but do not stop there. Use it to ask comparative questions. Which town peaked earliest? Which one declined as another rose? How did expenditure growth track against revenue concentration? The answers are already in the file, waiting for the right query. The user has done the unglamorous work of digitization. Now comes the rewarding part, not just finding the numbers, but making them speak. And that starts with a single formula, applied with intent.