The short answer
Most decorated-apparel shops treat 1–3% spoilage as normal, with about 2% the usual benchmark (Printavo). PRINTING United Alliance points out that there is no formal industry standard, but the leaders in its research keep spoilage under 1% of sales. So if you are at 2%, you are average, not good, and the gap between average and best is worth real money.
The more useful question is not ‘what is normal?’ but ‘what is mine, where does it come from, and which part can I stop before the press starts?’ This guide answers all three.
Why spoilage matters more in 2025–26 than it did five years ago
Margins in decorated apparel are being squeezed from both sides. In PRINTING United Alliance’s Winter 2025 State of the Decorated Apparel Industry report, per-unit operating costs rose 6.8% while average prices rose only 5.3%. Almost three in four companies (72.8%) saw costs rise, but only half (50.4%) raised prices, and 70.5% saw pre-tax profitability stay flat or fall. In the follow-up 2025 survey, 55.1% named tariffs and supply-chain disruption as a top challenge, the same share as persistent cost inflation.
When blanks cost more and prices can’t keep up, every spoiled garment hurts twice: you pay for the blank and the ink, and you lose press time you could have sold. Cutting spoilage is one of the few margin levers a shop controls completely.
What spoilage really costs (a calculator you can copy)
Use your own numbers in this simple formula:
Annual spoilage cost = garments printed per year × spoilage rate × (blank cost + ink and pre-treat + labour per piece) + reprint knock-on costs
Typical consumables for DTG are about $1–4 per garment, depending mostly on garment colour and ink coverage (Castle Ink). Dark garments cost much more than light ones: one Graphics Pro breakdown puts ink for a 10 × 12 inch print at roughly $0.50 on a light shirt and about $2.00 on a dark shirt, plus $0.20–0.25 of pre-treat, and the dark print takes about three minutes against about 90 seconds for the light one.
| Illustrative shop: 1,000 garments a day, 250 days | 1% spoilage | 2% spoilage | 3% spoilage |
|---|---|---|---|
| Garments spoiled per year | 2,500 | 5,000 | 7,500 |
| Blank ($5.50) + ink/pre-treat ($2.25) + labour ($1.25) = $9.00 each | $22,500 | $45,000 | $67,500 |
| Plus knock-on costs (rush freight, re-runs, late orders), say +25% | $28,100 | $56,300 | $84,400 |
$9.00 per spoiled garment (blank, ink and pre-treat, labour) plus 25% for reprint knock-on costs. Illustrative.
Going from 2% to 1% in this example is worth about $28,000 a year, with no new customers and no price increase. For a shop with a 10% net margin, that is the same as winning about $280,000 of new sales.
Where DTG spoilage actually comes from
Spoilage almost never has one cause. In practice, a handful of root causes explain most of it. This table maps the defect you see to its usual cause and the quickest check:
| What you see | Most likely cause | Quick check |
|---|---|---|
| Dull, faded or ‘washed-out’ print on darks | Too little pre-treat, or uneven coverage | Weigh garments before and after pre-treat; spot-check coverage under a light |
| Print cracks or washes out after laundering | Too much pre-treat, weak white underbase, or under-curing | Run a 5-wash test on one garment per batch; verify cure temperature with a probe |
| Streaks, banding, missing colour | Head clogs, often from low humidity | Check room humidity; Impressions advises keeping it above about 40%, Ricoma specifies 45–75% |
| Sluggish ink flow, inconsistent colour | Cold room (below about 72°F) or old ink | Log temperature at start of shift; check ink dates and agitate white ink |
| Fibres poking through, fuzzy print | Garment fabric (high polyester, open-end cotton) | Prefer ring-spun cotton; test new blank styles before taking big orders |
| Wrong size, position or file | Prepress and job ticket errors | Digital proof sign-off; placement template per garment size |
| Damaged or off-spec blanks | Supplier quality, a bad batch | Inspect a sample on arrival; record vendor and batch on every spoiled unit |
Two patterns are worth calling out. First, pre-treat is the single biggest lever on darks: too little gives dull prints, too much causes stiffness and wash failures. One ink maker’s guidance, for a standard 150 g/m² tee, is about 14 ml of light pre-treat or 21–25 ml of dark pre-treat over a 40 × 60 cm area. An automatic pre-treater removes the operator-to-operator variation that hand spraying creates. Second, the environment matters: low humidity dries white ink in the head, and a cold shop slows ink flow. Both show up as defects that look like ‘operator error’ but are not.
Why most shops never find the real cause
Most shop-management systems record that a reprint happened. Very few record why, and almost none connect spoilage across jobs. So the shop sees a total (‘we lost 400 shirts last month’) but not the pattern behind it: that one vendor’s black tees, pre-treated by hand on the night shift, account for a third of the waste. Without that link the response is generic: retrain everyone, add spares to every order, or live with it.
A weekly spoilage log you can start on Monday
You don’t need new software to start. A shared sheet with these columns, filled in for every spoiled unit, is enough to find the pattern within a month:
| Column | Example |
|---|---|
| Date / shift | 14 Oct · night |
| Job number and customer | 48213 · school spirit order |
| Blank style, colour, vendor batch | Heavyweight tee · black · batch 7731 |
| Method and machine | DTG · Press 4 |
| Pre-treat (auto or hand) and operator | Hand · operator B |
| Defect (from a fixed list) | Washed out after wash test |
| Caught where | QC before packing / customer return |
| Cost (blank + ink + labour) | $9.00 |
Every Friday, sort by defect and by batch, press, shift and operator. The top two or three combinations will usually explain more than half of the month’s waste.
A 30-day plan to cut spoilage
- Week 1: measure. Start the log above. Record room temperature and humidity at the start of each shift. Calculate last month’s spoilage rate as spoiled units ÷ units printed.
- Week 2: fix the environment and the pre-treat. Bring humidity into your printer maker’s range. Standardise pre-treat amounts per garment colour and size (weigh a few garments to check). If you hand-spray, write down exactly how.
- Week 3: test the risky inputs. Wash-test one garment from each new blank batch and each new style before the full run. Check cure temperature with a probe, not the dial.
- Week 4: target the top cause. Take the biggest combination from your log (for example ‘vendor X black tees, night shift’) and fix it: change the blank, change the pre-treat setting, or add a 2-minute check at job start.
- Then: set a target (under 1.5% next quarter, under 1% by year-end) and review the log every Friday.
From finding spoilage to predicting it
A weekly log tells you what went wrong last week. The next step is to know which jobs are likely to go wrong before they start. That is a pattern-matching problem: given this blank, this vendor batch, this press, this shift and this artwork, how did similar jobs go before?
An AI layer that reads the order, job and purchasing data your shop already records can do that matching for every job, every day, and flag the handful that need attention, with a specific action: raise pre-treat, swap the blank, pull two spares, or move the job to the day shift. It works on top of the system you already run; nothing is replaced.
Want to know your real spoilage rate and its top three causes? Bring us one problem. We’ll look at your data read-only and show you.
Bring us one problem →Related: True job costing for print shops · AI for print shops and POD production
Frequently asked questions
What is a normal spoilage rate for DTG printing?
Most shops accept 1–3%, with 2% a common benchmark. Leaders stay under 1%.
What is the biggest cause of DTG spoilage on dark garments?
Pre-treatment: too little gives dull prints, too much causes stiffness and wash failures. Low humidity causing head clogs is a close second.
How do I calculate my spoilage rate?
Divide spoiled units by total units printed for the same period. Track it weekly, by method and machine.
Should spoilage be built into my prices?
Build a realistic allowance into pricing and agree on overs for small custom orders, but the goal is to reduce spoilage, not pass it on.
Does DTG spoil more than screen printing?
It depends on the job mix. DTG is sensitive to pre-treat, humidity and fabric; screen printing to screens, registration and setup. Track each method separately.
