The State of Crypto Payments in Dentistry: 2026 Annual Report

Calling something an "annual report" implies a dataset behind it. Right now, that dataset does not exist in a form we're willing to publish as fact — no credible, independently verifiable survey of crypto adoption across US dental practices has been run yet, and DDSCrypto's own network has not completed a reporting cycle long enough to support real aggregate numbers. Rather than invent figures to fill that gap, this edition does something more useful for a first year: it lays out the methodology, the categories, and the exact shape a data-backed report will take, with every placeholder number flagged so nobody mistakes a template for a finding.

If you're a dentist or office manager who just wants the real numbers that exist today — card fees, chargeback costs, the crypto-rail comparison — those are documented on the pillar guide to accepting cryptocurrency at a dental practice and the card fee breakdown. This report is aimed at a different question: what would it take to measure "the state of crypto payments in dentistry" honestly, and what should you expect to see once that measurement exists.

Why does this report use illustrative numbers instead of real data?

Because presenting invented numbers as real would be worse than publishing nothing. A survey that hasn't been run, a network dataset that hasn't matured — those don't become real by writing them down with confidence. This report exists to do two honest things:

1. Show the methodology — exactly how future adoption, volume, and asset-mix figures will be defined and calculated, so anyone reading a later data-backed edition can see the numbers weren't chosen after the fact to fit a narrative.
2. Scaffold the sections a real report will eventually fill, with every placeholder figure labeled so it's unmistakable which numbers are real today and which are stand-ins.

Every number in the sections below that describes adoption, volume share, or asset mix carries the tag "illustrative, awaiting real network data." Numbers without that tag — the card-fee rate, the chargeback range, the settlement-timing comparison — are drawn from the cost math already documented across this blog and are treated the same way there: hedged, sourced to industry-standard figures, and marked † where they touch regulatory or pricing territory.

What would this report actually measure, once real data exists?

A credible "state of the industry" report needs a small number of clearly defined metrics, tracked the same way every year so trends are comparable. Here's the scaffold:

Metric category	What it would measure	Status in this edition
Practice adoption rate	Share of US dental practices offering a crypto payment option	Illustrative placeholder — no real figure available
Monthly crypto volume per practice	Average USD volume settled through a crypto rail per adopting practice	Illustrative placeholder — no real figure available
Asset mix	Share of transactions by BTC, ETH, SOL, USDC, USDT	Illustrative placeholder — no real figure available
Average settlement time	Time from patient payment to USD landing in the practice's bank account	Real, documented: same-day for DDSCrypto
Chargeback rate	Disputes per 1,000 transactions, crypto vs. card	Real, documented: effectively zero on confirmed crypto payments vs. $15–$50† per card chargeback
Effective cost rate	Blended processing cost as a percentage of volume	Real, documented: ~1% crypto rail vs. ~3.53%† card baseline

The first three rows are exactly the kind of figures a real annual report needs — and exactly the ones we're refusing to fabricate. The bottom three rows are populated because they're already documented, hedged appropriately, elsewhere on this blog and in the industry data those posts cite.

What does illustrative adoption data look like, and why isn't it real yet?

Here is a placeholder table in the shape a future edition would use — formatted the way real data will eventually appear, with every cell explicitly marked so it cannot be mistaken for a finding.

Practice size (illustrative segment)	Estimated adoption rate (illustrative, awaiting real network data)	Estimated avg. monthly crypto volume (illustrative, awaiting real network data)
Solo practice, 1 provider	Illustrative — no real figure available	Illustrative — no real figure available
Small group, 2–4 providers	Illustrative — no real figure available	Illustrative — no real figure available
Multi-location DSO-affiliated	Illustrative — no real figure available	Illustrative — no real figure available

We could have filled that table with plausible-sounding percentages. We didn't, on purpose. A first-year report that guesses at adoption rates and gets cited as if it were survey data does real damage — to practices making decisions off it, and to the credibility of every number DDSCrypto publishes afterward. The template stands empty until a real dataset can fill it.

What do we actually know today about the crypto-vs-card cost gap?

This part is not illustrative. It's the documented starting point for why any of this matters:

• The average dental practice runs about $44,900 a month in card volume at a 3.53%† effective rate — roughly $19,000† a year in card fees alone.
• A crypto rail like DDSCrypto runs around 1%, which on the same volume works out to roughly $5,400/year — a gap on the order of $13,000+ a year for a practice at that volume.
• Card chargebacks cost $15–$50† per incident; confirmed crypto payments are irreversible, which removes chargeback exposure from that slice of volume.
• 55–75% of patients report being less likely to return to a business that surcharges them for paying by card — a figure worth weighing against any plan to pass card fees straight through to patients†.
• Insurer virtual credit cards (VCCs) often force practices to absorb card-network fees on reimbursements they're already owed, which is a second, less visible place the card-fee gap shows up.
• On settlement timing: BitPay settles the next business day; DDSCrypto settles same-day — a real, structural difference between processors, not an illustrative one.

None of this required a survey. It's arithmetic on numbers the industry already tracks — average ticket size, average effective rate, chargeback fee ranges — applied to the rail comparison. It's also exactly why a real adoption-rate report would be useful: the cost case for switching is well established; what's missing is verified data on how fast practices are actually acting on it.

How will future editions collect real adoption data?

For transparency, here is the methodology a data-backed edition of this report would follow, so it can be evaluated on its face once published:

1. Aggregate, anonymized DDSCrypto network data — total volume, transaction counts, and asset mix across all participating practices, reported without any practice- or patient-identifying detail.
2. A practice survey, run independently of DDSCrypto's own signup funnel, asking non-adopting practices why they haven't added a crypto rail, to avoid selection bias toward practices already sold on it.
3. A minimum reporting window — at least one full year of network activity before a figure like "adoption rate" or "average volume per practice" is published, so early-adopter skew doesn't distort the number.
4. Clear disclosure of what's excluded — for instance, whether one-time crypto payments from patients whose practice doesn't formally "offer" crypto are counted in adoption figures or kept separate.

Any future edition that doesn't disclose its methodology this plainly should be read skeptically — including future editions from DDSCrypto itself.

What should a dentist or office manager take away from this report right now?

Two things, and they pull in different directions on purpose:

First, don't wait for this report to decide whether to add crypto payments. The cost math above is real, documented, and doesn't depend on industry-wide adoption figures — a practice running $44,900/month in card volume saves roughly the same amount whether 2% or 40% of other practices have made the same switch. If you want the mechanics — how the rate-lock-and-convert rail works, what onboarding looks like, which assets patients can pay with — the pillar guide covers it end to end, and the pricing page has the current rate structure.

Second, treat any "state of the industry" adoption percentage you see cited elsewhere with the same skepticism we're asking you to apply here. If a source cites a specific adoption rate for crypto payments in dentistry without disclosing survey size, timeframe, and methodology, ask where the number came from before repeating it. This report chose to publish nothing rather than publish something unverifiable, and that's the standard worth holding other sources to as well.

What happens in the next edition of this report?

Once DDSCrypto's network has enough history to support real, aggregated figures — volume, asset mix, adoption trend across a full reporting cycle — this article will be replaced with a version carrying actual numbers, sourced and methodology-disclosed the way the framework above describes. Until then, this page stands as the template: the categories a real report needs, the numbers that are already real and documented, and an explicit refusal to fill the rest with guesses dressed up as findings.

For the numbers that are real today, start with the card-fee breakdown, the chargeback cost comparison, and the accept-crypto pillar guide. For everything else on the blog, browse the full archive.

---

† Pending counsel review; not legal or tax advice.