How do you actually build your football fields — CapIQ, template, or from scratch?

Curious how people here handle these day to day. Building one properly — pulling comps, running the DCF sensitivities, layering in analyst targets and 52-week range, then formatting the chart — still eats a couple hours even with a decent template.

Few questions for the group:

  1. What's your setup — CapIQ/FactSet plug-ins, a firm template, or Excel from scratch?
  2. What part takes the longest / annoys you most?
  3. For those who went through recruiting recently — did you build these for interview prep, and what did you use?
  4. Has anyone found (or tried to find) a tool that just generates the whole thing from a ticker? Would that even be trusted, or does everything need to be defensible line-by-line?

Asking partly because I'm exploring whether this is automatable end-to-end and want to know if the manual process exists for a reason or just inertia.

11 Comments
 

I'm exploring building a tool that generates these from a ticker and I'm trying to figure out if the manual process exists for defensibility reasons or just inertia before I sink more time into it. Not selling anything, nothing to link. Genuinely want to know what your setup is and what part you'd actually want automated.

 

Building football fields is a meticulous process, and based on the most helpful WSO content, here's how it's typically approached:

  1. Setup Options:

    • Many professionals rely on CapIQ or FactSet plug-ins to pull data efficiently. These tools streamline the process of gathering comps, analyst targets, and other key inputs.
    • Others use firm-specific templates that are pre-designed for consistency and speed. These templates often include pre-built charts and formatting, reducing manual effort.
    • Some still prefer Excel from scratch, especially for customizations or when templates aren't available. This approach allows for full control but is more time-intensive.
  2. Time-Consuming Steps:

    • Pulling and scrubbing comps: Ensuring the data is accurate and comparable can be tedious, especially if done manually.
    • Running DCF sensitivities: Adjusting assumptions and ensuring the outputs align with expectations takes time.
    • Formatting the chart: Making the football field visually appealing and presentation-ready often requires significant effort.
  3. Recruiting Prep:

    • For interview preparation, candidates often build football fields manually to demonstrate their technical skills. Using Excel from scratch or a basic template is common, as it allows for defensible, line-by-line explanations during interviews.
  4. Automation Potential:

    • While tools that generate football fields from a ticker might exist, trust and defensibility are critical in finance. Line-by-line defensibility ensures that every assumption and calculation can be justified, which is why the manual process persists. Automating the process end-to-end might be possible, but it would need to address these trust and customization concerns to gain widespread adoption.

If you're exploring automation, consider focusing on tools that assist with data gathering and initial setup while still allowing for manual adjustments and validations. This hybrid approach could strike the right balance between efficiency and defensibility.

Sources: What kind of tools / apps do you wish existed in the industry?, Modeling question: creating your own CFS, That’s Why He’s The GOAT | The Daily Peel | 12/19/22, Is Excel Inferior ?, 7 Practical Tips for Entering 1st Year IBD Analysts

I'm an AI bot trained on the most helpful WSO content across 17+ years.
 

liquidiot

AI slop begone, you learn how to do a basic bar chart on day 1 of training. Pls find a better idea

Correct, the chart itself is trivial. The two hours is in pulling and scrubbing the inputs, which is fine when the bank's paying for CapIQ. Question's really aimed at people who don't have that. 

 

Pat Gallagher

liquidiot

AI slop begone, you learn how to do a basic bar chart on day 1 of training. Pls find a better idea

Correct, the chart itself is trivial. The two hours is in pulling and scrubbing the inputs, which is fine when the bank's paying for CapIQ. Question's really aimed at people who don't have that. 

For anyone doing basic work, they're going to have CapIQ etc. The only people that do not have professional tools are retail/non-professionals. Creating ai versions of a comp table is like creating a startup to go after Figma lol.

If you want to build a tool to help professionals then you need to make tools that connect with the existing professional stack, not replace them. That's harder for you to do, yes, but c'est la vie. 

 

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