The factory looks fine
Picture a food manufacturer with ten million dollars of annual revenue. Four million goes to raw materials. Another four million covers production, salaries, and operating costs. Two million is profit, a 20% margin. The lines are running, the trucks are leaving, the customers are paying.
Now the price of raw materials rises 20%.
Nothing else changes. Same volume, same selling prices, same payroll. The material bill goes from four million to 4.8 million. Profit goes from two million to 1.2 million.
That is a 40% drop in profit from a 20% move in one cost line, with sales flat. The arithmetic is straightforward. The consequence is not. In this example, materials consume 40% of revenue. Every 1% increase in material prices therefore reduces the profit margin by 0.4 percentage points, assuming sales volume, selling prices, and other costs remain unchanged. A 20% material-price increase removes eight percentage points of margin: from 20% to 12%.
All figures in this piece are illustrative, in US dollars, with volume and other costs held constant unless stated. The scenarios exclude implementation costs, demand effects beyond the stated volume test, capacity constraints, and changes in other variable costs.
The real danger is not the price increase
Most management teams see the invoice before they see the P&L. The cost increase has happened. The danger is making the next decision, on pricing, on suppliers, on the product range, without a forecast of what each option does to profit and cash.
Three scenarios, one management decision
A finance team that models the shock instead of reporting it would put three options on the table.
Scenario one: absorb it. Profit stays at 1.2 million.
Scenario two: recover half of the increase through pricing. A price increase of about 4% adds 400 thousand of revenue. Profit climbs to 1.6 million, if volume holds.
Scenario three: combine levers. Renegotiate supply and cut 200 thousand from the material bill. Shift sales toward products with lower material costs while maintaining total revenue, generating another 100 thousand of savings. Apply targeted price increases worth 300 thousand on the products that can carry them. Profit reaches 1.8 million. These are separate, incremental improvements, and the illustration assumes no implementation costs or volume decline.
The third option produces the highest modeled profit. It is not automatically the best decision. It carries execution risk and an untested customer response. Which brings us to the twist.
What if customers buy less?
Pricing scenarios assume volume holds. Test that assumption. At the new selling price, revenue is 10.4 million against 4.8 million of material cost, so each 1% loss of volume removes approximately 56 thousand of contribution. A 7.1% decline eliminates the 400 thousand profit improvement when measured against the full-volume absorption case: profit is back at 1.2 million. Pricing still delivers a benefit compared with absorbing the shock at the same reduced volume, but the projected 400 thousand recovery over full-volume absorption has disappeared.
That is why demand sensitivity is modeled before the price list changes, not after the first customer walks.
Profit is only half the picture
The shock also reaches cash before any pricing recovery arrives. With 60 days of inventory, the additional 800 thousand of annual material cost implies roughly 132 thousand of extra inventory investment before supplier payment terms are considered. That is not automatically a 132 thousand increase in net working capital, because accounts payable may offset part of it. Finance should model both profit and cash before recommending a price change.
What I would ask my finance team Monday morning
- If our largest material cost rises 20%, what happens to gross profit, operating profit, and our 13-week cash forecast, and when does the impact become visible?
- Which products and customers can absorb a price increase, what volume loss can we tolerate, and who approves the pricing action?
- Which supplier savings and product-mix changes can be delivered within 90 days, what implementation costs do they carry, and who owns delivery?
The point of the exercise
The goal is not to predict the next commodity move. It is to know, in advance, what each move does to your business and which decision each one triggers. When input costs change, the forecast should move before the decision is made.
If your finance function cannot answer the three Monday questions inside a week, that is the gap worth closing first.
Related: Hedge or Mortgage? Hershey's 1920 Sugar Crisis Through a Modern CFO's Eyes
Related: Episode 2
Talk this through with Finviq
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