Original research
Prop firm industry statistics 2026
Every number on this page is computed directly from the 34-firm dataset we maintain for reviews, comparisons and rule tracking across the site — not copied from a press release. Profit splits, evaluation pricing, drawdown mechanics, payout speed, trading-rule permissiveness and industry age are all derived below, with the exact method shown for each.
Updated July 20, 2026·34 firms in the underlying dataset
Prop firm comparison content is thick on the ground; prop firm statistics are not. Search for how the industry actually behaves in aggregate — what the average profit split is, how long payouts really take, what share of firms use a punishing intraday-trailing drawdown — and you mostly find round numbers repeated from other blogs with no attributable source. This page exists to fix that with our own reproducible arithmetic.
Nothing here is survey data. We do not poll traders or firms. Every figure is a pure function run over the dataset that already powers our firm reviews, our rule-change tracker and our payout transparency index — the same numbers you can check on any individual firm page, aggregated. Where a genuine industry-wide number does not exist and cannot exist (evaluation pass rates, most obviously, since no firm publishes an audited figure), we say so explicitly and label our estimate as an estimate, with the reasoning shown.
Use this page as a starting point for your own research, a citation source for an article, or a sanity check on a claim you have read elsewhere. Eight detail pages below go deeper on individual statistics with their own tables and methodology.
How these numbers are computed
- ·All figures are computed from src/data/firms.ts and src/data/tradingRules.ts — the same records used across every review on this site.
- ·Averages are arithmetic means unless labelled 'median'; we show both wherever the distribution is skewed by a small number of outliers.
- ·Percentages of 'firms allowing X' are computed from our per-firm rule flags (yes / limited / no), which we re-verify against each firm's public rulebook on every data pass.
- ·Pass-rate figures are explicitly modelled estimates based on evaluation structure — never presented as measured or audited data, because no such data exists publicly anywhere in this industry.
- ·The dataset currently covers 20+ firms across futures, forex, crypto and multi-asset categories. It is not a census of every prop firm in existence — smaller and newer firms without a verifiable public rulebook are excluded rather than estimated.
We earn affiliate commission from most firms listed across the site; that relationship has no input into any figure computed here. Last verified July 20, 2026.
Profit split: the headline number, in context
The mean profit split across our dataset is 90.1%, and the median is 90% — the gap between them exists because a cluster of firms advertise 100% while a smaller group sit at 90%, with almost nothing below that. 6 firms (18%) offer 100% on at least one plan, while 7 firms (21%) cap out below 90%. A high advertised split is no longer a differentiator on its own — it is closer to the market standard than an outlier, which is exactly why our Payout Transparency Index weights evidence of actually paying far more heavily than the advertised percentage.
| Category | Average profit split |
|---|---|
| Futures | 92% |
| Forex | 90% |
| Crypto | 90% |
| Multi-asset | 88% |
Full breakdown: average profit split by firm and category →
What an evaluation actually costs
The average evaluation entry price across our dataset is $82, with a median of $59. The range is enormous: the cheapest entry we track is $13 and the most expensive is $345 — an 27x spread for products that all convert, on paper, into a funded account. 13 firms (38%) run a standing public discount code, which is itself a signal worth reading rather than just using — see our firm health monitor on what permanent discounting can indicate about cash flow.
Full breakdown: average challenge cost by category →
Drawdown type: the biggest hidden risk variable
21% of firms in our dataset use intraday trailing drawdown — the model where every new unrealised equity high permanently raises your stop-out level, even on profit you never banked. 24% use end-of-day trailing, which only recalculates on the closing balance and is materially more forgiving. The remaining 56% use a static loss limit measured from the starting balance, the most trader-friendly model of the three because banked profit permanently widens your buffer.
Full breakdown: drawdown type market share →
Trading rules: how permissive is the industry?
| Rule | Fully allowed | Limited / conditional | Not allowed |
|---|---|---|---|
| News trading | 68% | 32% | 0% |
| Expert advisors / bots | 53% | 44% | 3% |
| Weekend holding | 32% | 26% | 41% |
| Crypto access | 53% | 44% | 3% |
| No consistency rule | 44% | 35% | 21% |
Full breakdown: news, EA, weekend and crypto rules by firm →
Payout speed and evidence
The average time to a first payout across the industry is 11.5 days (median 14 days) after funding. 35% of firms pay first-time withdrawals within 10 days. On evidence rather than speed, the average payout proof score — our 0–100 measure of how well a firm documents that it actually pays — is 77.9/100, with 2 firms scoring 90 or above and 13 scoring below 75.
Full breakdowns: payout times by firm · payout evidence & proof scores
Where firms are headquartered
| Region | Firms | Share |
|---|---|---|
| United States | 13 | 38% |
| United Arab Emirates | 5 | 15% |
| United Kingdom | 5 | 15% |
| Other / unlisted | 4 | 12% |
| Israel | 2 | 6% |
| Malta | 2 | 6% |
| Czechia | 1 | 3% |
| Australia | 1 | 3% |
| Singapore | 1 | 3% |
Industry age and growth
56% of the firms we track were founded in 2022 or later — the overwhelming majority of the industry as it exists today. Only 4 firms (12%) pre-date 2018. This is the structural fact behind most payout risk in this market: the industry is young, most firms have never traded through a full market cycle, and operating history remains one of the strongest predictors we have for a clean payout record.
| Founded | Firms (still operating) |
|---|---|
| 2012 | 1 |
| 2015 | 1 |
| 2016 | 1 |
| 2017 | 1 |
| 2018 | 1 |
| 2020 | 2 |
| 2021 | 8 |
| 2022 | 5 |
| 2023 | 11 |
| 2024 | 3 |
Full breakdown: industry growth by founding year →
Trust score by firm age
Age is not everything, but it correlates strongly with our trust score. Firms trading 10+ years average 90.3/100 trust; firms under 3 years average 70/100. The pattern holds on payout proof too, which makes sense — you cannot publish a decade of payout history at age two, whatever else you do right.
| Age bucket | Firms | Avg trust score | Avg payout proof |
|---|---|---|---|
| 10+ years | 3 | 90.3/100 | 92/100 |
| 6–9 years | 4 | 79.3/100 | 79.5/100 |
| 3–5 years | 24 | 75.3/100 | 76.8/100 |
| 0–2 years | 3 | 70/100 | 70/100 |
Evaluation pass rates — an explicit estimate
No prop firm publishes an audited pass-rate figure, so treat every number below — ours included — as a modelled estimate, not a measurement. Our model starts from evaluation structure (one-step, two-step, or instant funding) and adjusts for drawdown type and consistency rules, since those are the mechanical levers that determine how forgiving an evaluation actually is. On this basis, we estimate an average pass rate of 20% for one-step evaluations, 14.8% for two-step evaluations, and 0% for instant-funding models (which, having no evaluation to fail, are naturally much higher).
Full methodology and per-firm estimates: evaluation pass rates, explained and hedged →
All statistics
- Average prop firm profit split
The mean and median profit split across every firm we track, broken down by asset category and by how many offer 100%.
- Prop firm payout times
How many days it typically takes to receive a first payout after funding, and which firms are fastest and slowest.
- Prop firm evaluation pass rates (estimated)
A clearly labelled estimate of how many traders clear a one-step, two-step or instant-funding evaluation, and why no firm publishes the real number.
- Average prop firm challenge cost
The average, median, cheapest and most expensive evaluation fees across the industry, by category.
- Drawdown type market share
What share of prop firms use trailing, end-of-day trailing or static drawdown, and why the distinction is the single biggest risk variable in the industry.
- News, EA, weekend and crypto trading rules
The share of firms that allow news trading, expert advisors, weekend holding and crypto, computed from our full rulebook dataset.
- Prop firm payout evidence & proof scores
Average payout-proof score across the industry, and how many firms publish verifiable payout evidence versus relying on community reports.
- Prop firm industry growth by founding year
How many currently-operating firms were founded each year, what share launched since 2022, and what that means for counterparty risk.
Methodology
The dataset behind this page covers 34 actively operating prop firms across futures, forex, crypto and multi-asset categories. Each firm record includes profit split, entry price, evaluation structure, drawdown mechanism, payout cadence, first payout timing, a payout-proof score and a composite trust score, plus a full set of trading-rule flags (news, EAs, weekend holding, crypto access, consistency requirements).
Every record is manually re-checked against the firm's public rulebook, FAQ or terms page on each data pass — currently monthly, last verified July 20, 2026. Where a firm's terms are ambiguous or plan-dependent, we flag the rule as "limited" rather than rounding to yes or no.
This is not a census of the entire prop trading industry — there are more firms than we list, and we deliberately exclude firms without a public, verifiable rulebook rather than estimate their terms. That means these statistics describe the established, transparency-minimum segment of the market, not every operator using the phrase "prop firm" in an advertisement.
Cite this page
Feel free to quote, chart or embed any statistic on this page with attribution. Suggested citation:
PropFirm Beacon, "Prop Firm Industry Statistics 2026," propfirmbeacon.com/statistics, updated 2026-07-20.
FAQ
- Where do these prop firm statistics come from?
- Every figure on this page is computed live from our own dataset of 34 firms — the same profit splits, prices, drawdown rules and payout terms we use across every review and comparison on this site. Nothing here is sourced from a third-party survey; it is arithmetic run over our own verified rulebook entries, last checked 2026-07-20.
- Are the pass-rate figures real measured data?
- No, and we say so explicitly on that page: no retail prop firm publishes audited pass-rate data, so any number you see anywhere in this industry — ours included — is an estimate. Ours is modelled from evaluation structure (steps, drawdown type, consistency rules) rather than pulled from a marketing claim, and is labelled as an estimate throughout.
- How often is this page updated?
- On every data pass, currently monthly. Because the numbers are computed functions over our firm dataset rather than hand-typed, they update automatically the moment we revise a firm's terms.
- Can I cite or embed these statistics?
- Yes — every statistic and chart on this page and its sub-pages is free to quote, chart or embed with attribution and a link back to the relevant page. See the citation block below for exact wording.
- Why does this differ from other industry statistics pages?
- Most published prop firm statistics are unattributed round numbers repeated across marketing blogs. Ours are reproducible: the underlying dataset and the pure functions that compute each figure are open in our source, so anyone can recompute or challenge any number here.