Manufacturing Input Costs at a Four-Year High: Three Numbers That Tell You How Exposed You Are

On May 1, ISM released its April Manufacturing PMI report. The headline number: manufacturing expanded for the fourth consecutive month, with the index steady at 52.7 percent. Demand is real. New orders grew for the fourth straight month. Thirteen of sixteen manufacturing sectors reported expansion.

The sub-headline: the Prices Index hit 84.6 percent in April, up 6.3 points from March and 25.6 points over the last three months. That is the highest reading since April 2022. All six of the largest manufacturing industries reported price increases. In the survey comments, 47 percent of respondents mentioned the Iran conflict and 18 percent mentioned tariffs as direct cost drivers. Sixty-nine percent of all comments were negative.

This is not a demand problem. It is an input-cost problem, arriving simultaneously with slowing supplier deliveries. The Supplier Deliveries Index registered 60.6 percent (above 50 means slower), and that is the fifth consecutive month of delivery slowdowns. Manufacturers are paying more and waiting longer for the same inputs.

The operators who will absorb this without damaging their working capital are the ones who already know three specific numbers about their business. Most LMM manufacturers do not have those numbers documented. This post is what they are, how to get them, and what the gap costs in practice.

What the ISM data actually says, operationally.

The Manufacturing PMI gets read as a single number. Practitioners need to read the sub-indices. Each one is telling you something different about the current operating environment.

Read together, the pattern is: demand is solid, output is growing, but prices are at a four-year high and input lead times are stretching. The Employment Index contracting for 31 straight months while production expands tells you that institutional knowledge is thinning as pressure increases. People are doing more with fewer colleagues, and the documented processes that would let someone else step in are usually the first thing skipped when headcount is tight.

The Inventories Index at 49 percent is the number most analysts skip. It means manufacturers are not building safety stock despite slowing deliveries. That is either disciplined (they know their inventory position and are comfortable with it) or it is a cash-flow constraint forcing them to stay lean when the signal says to hold more. At most LMM operators, it is the second one.

The gap between two operators facing the same numbers.

Two manufacturers, both at $25M revenue, both in the April ISM universe, both seeing input cost increases. The outcomes in three months will differ. Not because of products or customers. Because of what each operator has documented.

The documented operator.

They pull inventory turns by category, not just in aggregate. They know that raw materials in one category are running at 6.2 turns (about 59 days on hand) and that 47 percent of that category spend flows through two suppliers with documented tariff exposure. They know their working capital cycle: 38 days of inventory plus 44 days receivable minus 29 days payable equals 53 days of cash tied up in the business at any given moment.

When the Prices Index spikes, they can ask a specific question: where are we most exposed by dollar, by supplier, and by lead time? The answer exists in a document. The conversation with their lender is: here is our current position, here is the exposure, here is the plan. That conversation happens before the cash flow issue appears.

The undocumented operator.

They know their gross margin and their revenue. They do not have inventory turns by category. They know their top suppliers by name but not by spend percentage or tariff exposure. Their working capital cycle has never been calculated because nobody sat down to do it.

When the Prices Index spikes, the response is gut-driven: order more of what feels short, hold back on what feels adequate. That over-ordering ties up cash. Stretching lead times mean some of that extra inventory sits waiting for components not arriving on schedule. Receivables stay constant. Payables get stretched to compensate. The lender conversation happens under pressure and produces worse terms.

The difference between these two operators is not strategy. It is not sophistication. It is documentation.

The three numbers every manufacturing operator needs right now.

None of these are complicated analyses. They are the minimum visibility a manufacturing operator needs to make procurement and inventory decisions when input costs are moving fast. Most LMM manufacturers do not have any of them in a maintained document.

1. Inventory turns by category.

Aggregate inventory turns hide the problem. An overall turn rate of 8x looks healthy until you find that it is being pulled up by two fast-moving finished goods categories while you are sitting on 180 days of a raw material category that accounts for 30 percent of your COGS.

Build a category-level inventory turn view. Five to ten categories is sufficient. Sort by COGS spend, then overlay days on hand. The categories with the most spend and the most days on hand are your over-indexed positions. In a rising-price environment, carrying those positions longer is expensive. In a slowing-delivery environment, you may need to hold more of them to maintain production schedules. That tension requires a number to resolve. Gut is not enough.

2. Supplier spend exposure by tariff risk.

List your top 10 to 15 suppliers by spend. For each one, note the country of origin, the tariff classification if you know it, and whether you have a qualified alternative. Map each to a percentage of COGS or total direct spend.

This does not need to be sophisticated. A spreadsheet with five columns does the job. If your top two suppliers by spend are both tariff-exposed and single-sourced, you have a concentration risk you can begin addressing now. If you do not have this list, you are making supplier-diversification decisions based on whoever your procurement manager has talked to recently. In a tariff environment, that is an expensive way to operate.

3. Working capital cycle.

Days of inventory (DOI) plus days sales outstanding (DSO) minus days payable outstanding (DPO). This is the number of days cash is tied up in your business before it returns as collected revenue.

The formula: divide average inventory by COGS and multiply by 365, plus divide average receivables by revenue and multiply by 365, minus divide average payables by COGS and multiply by 365.

Most LMM manufacturers do not know this number. Their controller can produce it in a few hours. When input costs rise, DOI tends to rise with it because you are buying more, or paying more for the same quantity. When that happens without a corresponding improvement in DPO or a reduction in DSO, the working capital cycle lengthens. Cash stays trapped longer. The credit facility that was adequate three months ago is now strained. Know this number before your lender asks.

What this looks like inside an engagement.

When we start a Diagnose phase inside a manufacturing operation, the working capital cycle is one of the first three numbers we calculate. Not because it is exotic, but because it defines the urgency of everything else. An operator with a 40-day working capital cycle has different runway than one running an 85-day cycle, and the right sequence of operational improvements depends on which situation you are in.

In the Stabilize phase, inventory positioning is almost always the first lever. In a typical $20M to $40M manufacturer, we find 15 to 25 days of excess inventory concentrated in two or three categories. At $25M revenue, 20 excess days of inventory represents roughly $400,000 to $700,000 of working capital tied up unnecessarily. That is not found through a warehouse walk. It is found through category-level turn analysis applied to the actual cost of goods on hand. The walk comes after the numbers tell you where to look.

The supplier exposure map usually takes two to three days with the procurement lead or controller. The output is a one-page document the principal can use in every supplier negotiation and lender conversation for the next two years without redoing the work. Most operators do not have this document. They rebuild the analysis informally every time they need it, which means they never quite have it when they need it most.

In a cost-spike environment, the discipline installed through a structured engagement is not just about efficiency. It is about knowing where you are exposed before the exposure becomes a cash problem. More on how we structure the first 90 days: What We Cut in the First 90 Days. On what operational waste looks like inside a manufacturing context, the inventory carrying cost line is usually in the top three. On the methodology: the Axis Method.

What to do this week.

The ISM data is from April. May procurement decisions are being made now. Four specific actions:

1. Pull inventory turns by category, not in aggregate. If your ERP cannot produce this in an hour, have your controller build it in a spreadsheet. Five to ten categories, cost of goods sold per category, average on-hand value per category, calculate turns. Sort by COGS spend. Flag anything above 90 days on hand in a top-five spend category.
2. Build the supplier exposure list. Top 10 suppliers by spend. Country of origin. Estimated tariff classification. Qualified alternative: yes or no. Percentage of direct spend. This document should exist by end of week.
3. Calculate your working capital cycle. Pull 90-day averages on inventory, receivables, and payables. Do the DOI plus DSO minus DPO math. If the cycle has lengthened more than 10 days in the last six months, you want to know why before your lender asks.
4. Document your top-volume production processes now. The Employment Index has been contracting for 31 months while production grows. The institutional knowledge running your shop floor is thinning. Write the highest-volume processes down before they become a dependency risk.

These are not Lean Six Sigma projects. They are not strategic initiatives. They are the baseline information a manufacturing operator needs to run a business when input costs are moving fast. At most LMM manufacturers, this baseline does not exist in a maintained document. That gap is the operational excellence deficit, and it compounds in a cost-spike environment.

If you want to see what this looks like applied to your specific operation, the fractional COO engagement starts with a Diagnose phase that produces exactly these three numbers in the first four weeks: working capital cycle, inventory exposure by category, and supplier concentration risk. If you want to talk through where your operation stands, book a scoping call. Thirty minutes. No pitch deck.

Keep reading.

• Replacing the SaaS Stack with $75/mo of Cloudflare, Most small operators run on $500–$3,000/month of SaaS that compounds with every new hire. …
• What We Cut in the First 90 Days, A typical $10M–$50M operator carries 30–40% operational waste. The first 90 days of an Axi…
• How to Read an Operational Waste Audit, Three numbers come out of the Diagnose phase of every fractional COO engagement. Most oper…
• How to Actually Move a Team from Storming to Performing, Most LMM teams stop at Norming and the leadership thinks that is success. It is not. This …
• Lean Six Sigma for the Lower-Middle Market, Without the BS, DMAIC, SIPOC, Black Belts, control charts, kaizen events. At enterprise scale these earn t…

Talk through it.

If any of this is applicable to where you are, book a scoping call. No pitch deck.