Here’s a puzzle worth sitting with.
A consumer products company has good products, growing revenue and loyal customers. A correction arrives somewhere else in the economy — in a sector it doesn’t sell to, doesn’t buy from and has never thought about. Not one customer leaves. Revenue doesn’t fall.
Eighteen months later the company is in serious trouble.
I’ve watched this happen twice, and the mechanism is the same both times. It has nothing to do with demand. Most founders never see it coming because they’re watching the wrong number.
In Part 1 I argued that survival in a downturn turns on what you owe that you can’t unwind. This part is about how the damage travels, and specifically how it reaches companies standing nowhere near the thing that broke.
Again, I’m not predicting anything. I don’t know whether AI valuations correct or when. What follows would be true of any significant repricing, from any cause.
Demand is the wrong thing to watch
Category demand for non-discretionary consumer goods is remarkably stable across recessions. People trade down. They buy the store brand. They stretch the interval between purchases. What they don’t do is stop.
Founders watch demand because it’s the number they know best and the one their whole organization is built to influence. It’s also, in a credit contraction, close to the least informative number on the page.
The damage arrives through the balance sheet. And it arrives in a specific order.
The four channels
Inventory financing gets more expensive, or disappears. If you fund inventory with anything other than your own cash, your cost of capital is a market price, not a contract. It reprices when risk appetite contracts, regardless of how your business is performing.
Asset-based lending tightens, often without anyone telling you. This is the one that surprises people. Your facility is not reduced. Your advance rates are. The percentage of eligible receivables and inventory you can borrow against gets cut, concentration limits get tightened, and categories of collateral get reclassified as ineligible. The headline number on your facility is unchanged. What you can actually draw can fall by a third.
Your customers extend their payment terms. Every large retailer and distributor protects its own cash in a downturn by pushing terms outward. They have the leverage to do it and they use it. Net 45 becomes net 75. This is not a negotiation; it’s a notification.
Trade credit insurance withdraws cover. This is the channel almost nobody writes about and the one most likely to catch you cold. Your suppliers often insure what you owe them. When their insurer cuts cover on you — frequently because of a worry about your sector rather than anything in your numbers — your supplier moves you to prepayment, and the first you hear of it is the new terms. The same thing runs in the other direction: if you insure your own receivables, your insurer can reduce or withdraw cover on your largest retailer, leaving you to choose between shipping uninsured and demanding terms that customer won’t accept. Both decisions are made by underwriters you have never met, about businesses you had no reason to worry about. In 2008 this cascaded through retail supply chains faster than anything else on this list.
The trap: your receivables grow while your borrowing base shrinks
Here’s where the four channels combine into something worse than their sum.
When a customer extends its payment terms, your accounts receivable balance grows. Under normal conditions that’s partly self-correcting, because receivables are collateral — a bigger receivables book supports a bigger draw.
Except that the same conditions causing the extension are causing your lender to tighten eligibility, and causing credit insurers to reconsider cover on exactly the customers whose terms just lengthened. So the receivable grows and simultaneously becomes less borrowable, or entirely ineligible.
You are owed more money, by customers who are paying more slowly, against a facility that will advance you less of it.
That’s the mechanism. No customer left. No product failed. Nobody did anything wrong.
What it costs, in actual numbers
Take a company doing $20 million in revenue at a 40 percent gross margin, so $12 million in cost of goods.
Before the turn: 75 days of inventory, 45 days of receivables, 60 days of payables. That’s a cash conversion cycle of 60 days.
After the turn, three things move at once. Inventory slows a little, to 85 days, because sell-through softens. Receivables go from 45 days to 75, because two large customers extended terms. And payables go from 60 days to 45, because your own suppliers tightened on you for the same reasons your customers tightened on them.
The new cycle is 115 days. Fifty-five days longer.
In cash, that’s roughly $330,000 more tied up in inventory, $1.6 million more in receivables, and $490,000 less financed by suppliers. Call it $2.5 million of additional working capital required.
A $20 million business with unchanged demand and unchanged margins now needs $2.5 million it didn’t need last year. And its credit facility, on the advance rates described above, will lend it less than it did before.
That’s how a good company with loyal customers gets into serious trouble without losing a single one.
Why hardware and deep-tech have it worse
Everything above is drawn from consumer products, because that’s where the arithmetic is easiest to see. If you build hardware, industrial equipment or anything with a long development cycle, every number in that example is worse for you.
Your cash goes out earlier. Tooling, certification and component buys are paid for long before a unit ships, and contract manufacturers increasingly want deposits up front — more so in a tight market, because their own credit is tightening at the same time.
Your cash comes back later. Enterprise, industrial and public-sector buyers run net 60 and net 90 as standard, and they’re slower to pay than retailers, not faster. Milestone payments on a long deployment sit somewhere between a receivable and a hope, and lenders treat unbilled or milestone-based amounts as poor collateral or none at all.
And your inventory is harder to finance. A lender advances against goods it believes someone else would buy in a hurry. Finished consumer product qualifies. Half-built industrial units, custom components and application-specific inventory don’t, so they get written down or ruled ineligible in exactly the moment you need the borrowing base most.
A hardware company can easily run a cash conversion cycle of 150 to 200 days in a good market. The 55-day extension in the example above is not a bad quarter for a business like that. It’s a solvency event.
The upside, if there is one, is that hardware founders already know their cycle is long. The failure mode isn’t ignorance of the number. It’s assuming the number is stable, when every input into it moves against you at once.
Boundless, 2008
Boundless is the impure case, and I want to be honest about that rather than tidy it away.
We sold to corporate marketing departments, so in 2008 demand did fall. Promotional product spend is about as discretionary as a budget line gets, and it went first. That part was visible and expected.
What we hadn’t modeled was everything that happened around it. Access to capital disappeared, in the same way it had for Creditland eight years earlier — not gradually, but all at once, which removed the option of growing through the problem. And our suppliers got squeezed by their own lenders and their own insurers, so the credit they’d extended to us shrank. The terms we’d relied on for years were repriced by people managing their own survival, not punishing us.
So we were carrying three shocks at once: less revenue, no access to capital, and less supplier credit funding the business in between. Any one of them is manageable. The combination is what made getting to break-even in 2009 the only strategy worth having.
The demand drop is the one everybody remembers. It wasn’t the dangerous one.
Gembah, from the other side
In Part 1 I described what happened to us in 2022 from the demand side: our customers canceled purchase orders, sat on inventory, and cut their product development budgets.
The balance sheet version is the more instructive one.
Our customers were e-commerce companies selling to consumers. In 2021 they were flush, growing, and paying on time. Through 2022 they were sitting on inventory they had over-ordered against two years of record growth that then stalled — cash they had already spent, parked in a warehouse — while managing a working capital squeeze none of them had modeled.
A company in that position does two things. It cancels discretionary projects — which is what product development is when the warehouse is full. And it pays its vendors more slowly.
We experienced both, simultaneously, as a revenue problem and a collections problem. The product was fine. The customers were fine, mostly; almost all of them are still operating. The money moved, and the money moving was what we actually had to survive.
The lesson I took, and the reason I’m writing this: we were watching our pipeline when we should have been watching our customers’ balance sheets. The signal that mattered was visible a quarter before it reached our revenue, and it was sitting in our own receivables aging.
Who is actually insulated
Not everyone gets hit equally, and the distance that matters is not what most people assume.
It isn’t measured in industry category. It’s measured in credit. Specifically:
Short cash conversion cycles. A business paid at the point of sale that turns inventory in three weeks has very little exposure to any of this.
Low financing dependence. If inventory is funded from operating cash rather than a facility, the first two channels above simply don’t apply — though customer terms and your suppliers’ insurers still reach you.
Customer concentration weighted by payment terms rather than by revenue. Two customers at 20 percent of revenue each are a manageable concentration. Two customers at 20 percent each who both just moved to net 90 are a different thing entirely.
Direct-to-consumer, prepaid, subscription — all structurally advantaged here, not because the demand is better but because the cash arrives first.
The genuinely non-discretionary, short-cycle, self-funded business will barely notice. That’s a real category and it’s larger than the doom-writing suggests. But it’s defined by balance sheet structure, not by what’s in the box.
The diagnostics, and you can pull all of these this week
Your cash conversion cycle now, versus twelve months ago. Not the level — the direction. A cycle that has lengthened fifteen days in a year is telling you something your revenue line is not.
The percentage of revenue from customers on extended terms, and whether that percentage has moved. This is the earliest warning you get, and it shows up in your receivables aging before it shows up anywhere else.
Whether your facility is borrowing-base dependent, and what the current advance rates are. If you can’t answer this from memory, find out. Then ask your lender directly what would cause those rates to change. They’ll tell you.
Customer concentration weighted by payment terms. Rebuild your concentration analysis using days outstanding rather than revenue share. The picture is often unrecognizable.
Your suppliers’ view of you. Ask your two largest suppliers whether they carry credit insurance on your account. If they do, you have a dependency on an underwriter’s opinion of you that you didn’t know about and can’t see.
None of this requires a forecast. All of it is true regardless of what happens next, and every one of these numbers is more useful than a view on the market.
If you pull these five and want a second pair of eyes on what they’re telling you, I’m happy to look.
Part 3 asks the opposite question: what becomes available when everyone else freezes, and why the best time to take market share is the moment it feels most irresponsible.