Learn how to evaluate whether adding more trucks actually increases profitability. In this lesson, you’ll see how to compare revenue, costs, and profit per truck over time, identify which truck types drive the most value, and spot decisions that could significantly impact your bottom line.
Download the Excel file used in this tutorial:
This tutorial shows how to determine whether adding trucks actually increases profitability or quietly drains cash. You’ll learn how to calculate net profit per truck, analyze results by month and truck type, and visualize how a single truck decision can swing revenue by six figures per year.
Copy the following fields into your model:
These values represent your revenue and cost structure per job.
This gives total monthly revenue.
Repeat the same SUMIFS() logic for each cost category:
Key setup details:
This represents the full monthly cost of operating your trucks.
Gross profit includes only job-specific costs, not overhead-related expenses.
This shows operational profitability before overhead.
This is your true bottom-line profit per month.
This tells you how many trucks were actually operating each month.
This metric shows how much profit each truck contributes per month.
This chart reveals trends and volatility in truck profitability over time.
Create a separate summary by Truck Type:
For each truck type, calculate:
This highlights which truck types generate the most value.
This visualization quickly shows which trucks are worth scaling — and which are not.
You now have a clear, data-driven answer to the question:
Does adding trucks actually grow profit — or just revenue?
This model shows:
Q1. Does adding more trucks always increase revenue?
Not necessarily. While more trucks can increase capacity, this analysis shows that certain truck types may generate higher profits than others, and some may even reduce overall profitability if costs outweigh revenue.
Q2. Why is profit per truck an important KPI?
Profit per truck helps you understand how efficiently each asset contributes to your business. It allows you to compare performance across months and truck types, making it easier to decide whether expanding your fleet makes financial sense.
Q3. How can this analysis help with purchasing decisions?
By breaking down revenue, costs, and profit per truck, you can identify which truck types produce the strongest returns. This insight helps prevent costly purchasing decisions that could negatively impact cash flow or margins.
Q4. Can this approach be used for different industries?
Yes. While this example focuses on trucks, the same approach works for any asset-based business, such as service vehicles, equipment, machines, or crews, where understanding profit per unit is critical.
Q5. What’s the best way to visualize truck profitability?
Line charts are effective for showing how profit per truck changes month by month, while bar or column charts work well for comparing profitability across different truck types.
Q6. Where can I get the data used in this video?
You can download the Excel file linked in the video description to follow along and recreate the same analysis step by step using the sample dataset.