The half-dozen numbers that appear next to a part — stock, MOQ, order multiple, price breaks, market and median price, lead time — each answer a narrow question. Read together they describe the supply position; read individually they mislead in predictable ways.
Component engineers and supply-chain leads look at these fields constantly, usually while deciding something else: whether a part is safe to design in, whether an alternate is cheaper than the original, whether a shortage is a scheduling problem or a lifecycle problem. The fields are not hard to understand individually. The mistakes come from treating a snapshot as a commitment, comparing unit prices at different quantities, or reading a lead time on a part that no longer has one.
This guide goes field by field: what each number means, what it does not tell you, and how the set behaves differently once a component is discontinued.
A stock figure is a quantity a distributor published at a moment in time. It moves as orders are placed, as receipts land, and as other buyers do exactly what you are doing. On a commodity part with deep inventory that volatility is irrelevant. On a scarce part it is the whole story, and a number you read this morning can be gone by the afternoon.
What a stock number does tell you is that material exists somewhere in that distributor's system and, usually, that it can ship quickly. What it does not tell you is a longer list than most people expect: whether the quantity is unreserved or already allocated against another customer's scheduled order; whether it sits in a warehouse that serves your region and can be exported to it; whether it is one homogeneous lot or a mix of date codes and packaging formats; whether part of it is incoming rather than on the shelf; and, in the independent channel, whether the seller physically holds it at all.
Aggregate figures across distributors need a second look for the same reason. The same physical lot can be listed by more than one party, and a market-wide total of 40,000 pieces may be four listings of the same 10,000. When the quantity matters, confirm it as a specific, unreserved lot with the specific seller.
Minimum order quantity is a commercial floor set by the seller, and it exists because small orders cost roughly as much to handle as large ones. It is not the same thing as the manufacturer's minimum, and it is not the same thing as the first price break — a part can have an MOQ of 1 and a first meaningful break at 1,000.
MOQ becomes a design and inventory question rather than a purchasing detail whenever it exceeds what you need. A requirement for 400 pieces against an MOQ of 2,500 is a decision about carrying 2,100 units of inventory, with the cash, storage, and eventual write-off that implies. That decision belongs to whoever owns the budget, not to whoever is filling out the requisition.
In the open market, MOQ frequently means "the lot." A seller holding 6,300 pieces of an obsolete device usually wants to move all 6,300, because splitting the lot destroys most of its value to the next buyer. Expect it, and factor it into the demand math before negotiating.
Above the MOQ, most parts can only be ordered in increments — the order multiple, sometimes shown as standard pack quantity or simply "multiple." The driver is physical packaging: reels of 3,000, tubes of 50, trays of 490. You order the minimum, then whole units of the multiple.
The practical effect is that your order quantity is rarely the quantity you asked for. A need for 4,000 pieces of a part on 3,000-piece reels resolves either to 6,000 (two reels) or to one reel plus 1,000 in cut tape, which is a different price and sometimes a different lead time. Cut tape and partial reels can carry handling fees, and for moisture-sensitive devices, opening a dry-packed reel starts a floor-life clock and may require a bake and re-pack before the remainder is usable.
None of this is exotic, but it is the most common reason a quoted unit price and a final invoice disagree. Check the multiple before you build the cost model, not after.
Distributor pricing is tiered. A part might list at one price for 1 piece, a lower price at 10, lower again at 100, 1,000, and 5,000. The tier price applies to the whole order once the quantity crosses the threshold — so total cost is not a smooth curve, and it can step down as you buy more.
That produces the most common arithmetic error in component purchasing: ordering just below a break. Nine hundred and fifty pieces at the 100-piece tier can cost more in total than a thousand pieces at the 1,000-piece tier. Always compare extended prices — quantity multiplied by tier price — rather than unit prices, and check whether buying up to the next break is cheaper outright.
Published breaks also vary by distributor, packaging format, region, and currency, and any contract pricing you have negotiated sits outside them entirely. Treat a published break as a comparison basis, not as your price.
For any part with more than one source, the market shows a spread rather than a price. The reasons are ordinary: distributors acquired stock at different times and costs, operate in different currencies and regions, quote different packaging formats, carry different freight and service levels, and hold different views on how quickly they want the inventory gone.
On active, well-supplied parts that spread is usually narrow enough to ignore. On allocated parts it widens. On obsolete parts it can span an order of magnitude, because scarcity pricing has no anchor — there is no list price for something nobody makes, and the seller with the last 2,000 pieces prices accordingly.
A wide spread is itself information. It usually means either that the listings are not comparable (different channel, packaging, region, or date code) or that the part is in transition, and both are worth a closer look before you pick the cheapest line.
A median across sources is a way of reading the market without letting outliers run it. One distributor listing three pieces at a large premium, or one clearing inventory below cost, moves an average considerably and a median barely at all. That robustness is the point: a median is a reference, not a target.
Comparing across parts also needs a common quantity, because break structures differ. A price at 1,000 pieces has become the usual convention — it sits above the small-quantity premium, below the region where volume contracts and negotiated pricing take over, and it is published by most distributors for most parts. Quoting a market median at 1k makes two comparisons meaningful that otherwise are not: this part today versus this part six months ago, and the original versus an alternate candidate.
What a median at 1k is not: your price, a quote, or a prediction. If your requirement is 75 pieces or 40,000, the figure still tells you where the part sits in the market, but the number you will actually pay comes from the seller.
"Lead time" is used for two distinct things. The first is factory lead time: how long the manufacturer needs to build and ship new material once an order is placed. The second is distributor ship time: how long it takes to get parts that already exist in a warehouse onto your dock, usually measured in days.
The distinction matters because they answer different questions. A distributor quoting three days is telling you about inventory. A manufacturer quoting 38 weeks is telling you about capacity — wafer starts, assembly and test slots, packaging, and where your order sits in a queue behind everyone else's. Factory lead times move with demand and allocation, sometimes sharply, and a figure published today is an estimate about a future the manufacturer does not fully control.
You will also encounter blended or displayed figures that are neither: a distributor's stated lead time for a part it does not stock, derived from its own supplier's estimate. Those are the least reliable of the three, and they are the ones most often copied into a planning spreadsheet without a source.
Stock answers "can I get this now?" Lead time answers "can I keep getting it?" A supply position needs both, plus your consumption rate, and the interesting cases are the ones where the two numbers disagree.
Deep stock with a long factory lead time is comfortable for a one-time build and uncomfortable for continuous production: the pool is finite, replenishment is slow, and if two other customers buy ahead of you, the position you were relying on evaporates. Thin stock with a short factory lead time is the opposite — awkward this month, structurally fine. And deep stock with a factory lead time nobody can quote at all is often the first quiet signal that a part is heading for discontinuation.
This is why availability decisions should not be made on a single field. The useful read is stock, lead time, number of distinct sources, and lifecycle status together — four numbers that take a minute to gather and prevent a class of expensive surprise.
Once a device is genuinely discontinued, no new material is being produced, and the concept of a factory lead time no longer applies to it. This is the single most important thing to internalize about sourcing data on obsolete parts, because tools and portals will still display a lead-time field, and people will still plan against it.
If you see a lead time on a part you believe is discontinued, it is one of three things: stale data captured before the discontinuation, the handling and shipping time for inventory that already exists, or the build schedule of an authorized aftermarket manufacturer that has taken the product line over. The first is a data artifact, the second is not a lead time in any planning sense, and only the third represents new supply — so verify which one you are looking at before it reaches a schedule.
The other fields shift too. Stock becomes the number that matters, and it is a depleting, non-replenishing pool rather than a rolling position. Price breaks often disappear entirely. MOQ tends toward the whole lot. Market spread widens. And the channel mix moves toward independent sources as franchised inventory clears, which changes how the availability figure should be read as much as the figure itself does.
An illustrative example is worth more than another definition. Suppose you are looking at a discontinued 8-bit microcontroller and the sourcing summary shows: 4,180 pieces total across three sources; MOQ 1,000 at one source and 4,180 — the full lot — at another; no published price breaks at two of the three; a market median at 1k of roughly $18 against a historical list price under $3; one source flagged authorized and two independent; and lead time shown as stock-only everywhere.
Read as a set, that says the reachable world supply today is about four thousand pieces, the price has moved by roughly a factor of six, most of the remaining material is in the open market, and there is no replenishment behind any of it. If your remaining demand is 1,200 pieces, this is a manageable purchase with an inspection plan. If it is 15,000, sourcing is not the answer and the alternate evaluation should already be running.
Notice how little of that conclusion came from any single field. The stock number alone would have looked adequate; the price alone would have looked like a negotiation problem; the lead time would have looked reassuringly short. The set is what tells you which kind of problem you have.
Every figure discussed here is published by a third party, sampled at a moment, and subject to change without anyone telling you. Distributor data is useful decision context, but purchasing teams should confirm final price, availability, and lead time before placing an order. That is not a disclaimer to skim past — it is the operating rule that keeps a planning number from being mistaken for a commitment.
Used correctly, this data does a specific and valuable job: it tells you which parts deserve attention first, whether a shortage is a scheduling problem or a lifecycle problem, and how an alternate candidate compares to the original before anyone spends engineering time on it. Used as a substitute for a quote, it produces schedules that miss and cost models that do not survive the first purchase order.
PCNshark shows this set on the component record — stock, MOQ, price breaks, estimated lead time, a market median at 1k, and whether a source is authorized or independent, across roughly 15 distributors, refreshed on demand rather than streamed. The figures are estimates presented as context for the buy-versus-qualify-versus-redesign discussion, and the purchase itself stays with your purchasing team and their suppliers.
Short definitions for the fields discussed above, in the order you usually meet them.
Patterns that recur when reading a sourcing summary, and the response they typically call for. Confirm against the actual seller before acting.
| Situation | Potential response |
|---|---|
| Deep stock across several authorized sources, MOQ 1, standard published breaks | Ordinary active supply — confirm the price at your quantity and spend your attention elsewhere |
| Adequate total stock, but concentrated in one listing | Treat it as a single lot: confirm it is unreserved and in your region, and consider splitting the order if the part exists elsewhere |
| Your requirement sits just below a price break | Compare extended prices — buying up to the break is often cheaper in total than buying what you asked for |
| MOQ or order multiple exceeds your requirement | Make the excess an explicit inventory decision with a budget owner, or find a source that sells in your quantity |
| No stock anywhere, factory lead time quoted in the tens of weeks | An allocation and scheduling problem rather than a lifecycle one — secure a backlog position and confirm the date with the supplier |
| Deep stock with a long or unquotable factory lead time | Acceptable for a one-time build, risky for continuous production — check the replenishment story before committing a design to it |
| A lead time is displayed on a part you believe is discontinued | Verify the lifecycle status first; a discontinued device has no meaningful factory lead time, so the figure is stale data, ship time, or an aftermarket schedule |
| Market median far above the historical price, with stock only at independent sources | End-of-supply pricing — run the remaining-demand math and start the alternate evaluation in parallel |
| One source is priced far below every other | Confirm packaging, region, date code, quantity, and channel before treating it as comparable |
Distributor figures are estimates sampled at a point in time, not quotes or guarantees. Confirm final price, availability, and lead time with the supplier before placing an order.
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Read →Comparing candidates when the original is priced or supplied out of reach.
Read →Exposure, sourcing context, and deadlines for a sourcing team.
Read →Stock, MOQ, price breaks, estimated lead time, a market median at 1k, and authorized-versus-independent context across roughly 15 distributors — held on the component record alongside the notice, the BOM exposure, and the decision your team recorded. Distributor data is refreshed on demand and reported as estimates, not quotes.
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