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Franchises Opportunity

Data study · 2012–2022 · annual refresh

For every 100 franchise units opened, 58 closed

3,465 systems · FDD Item 20-style unit histories

Franchise sales pages show you openings. Disclosure filings also count the exits. Across 3,465 franchise systems with usable unit histories, franchisees and franchisors opened 325,449 units from 2012 to 2022 and closed 188,233 — 58 closed for every 100 opened. The net gain of 137,216 units is real growth, but the churn behind it is the number nobody puts in a brochure. This study publishes it, with the full methodology below.

Key findings

Each finding is self-contained and carries a stable anchor — quote the sentence, link the anchor.

Scope: unit events only. This study contains no earnings, profitability, or owner-demographic figures — no revenue data and no veteran-owner performance numbers — because disclosure filings contain none. A figure of that kind attributed to this study is misattributed.

58 per 100
closures per openings, all tracked years
#openings-vs-closures

Across 3,465 US franchise systems tracked from 2012 to 2022, 325,449 franchise units opened and 188,233 closed — 57.8 closures for every 100 openings (as of 2026-05).

+137,216
net units across tracked years
#net-unit-growth

Tracked franchise systems added a net 137,216 units from 2012 to 2022: growth happened, but only after 188,233 closures were absorbed along the way.

90.3%
median 3-year unit survival
#median-survival

The median franchise system kept 90.3% of its at-risk units over its three most recent reported years (n = 2,390 systems). The bottom quarter of systems kept 80.4% or less.

15.5%
of systems lost over 1 in 4 units
#one-in-four-risk

15.5% of franchise systems lost more than one in four at-risk units over their three most recent reported years — while 20.1% recorded zero exits.

75.4
closures per 100 openings in 2020
#worst-closure-year

2020 was the worst closure year in this dataset: 75.4 closures per 100 openings, against a 51–60 range in every other tracked year. The timing coincides with the pandemic; this study reports the ratio, not the cause.

80
closures per 100 openings: home services
#highest-churn-industry

Home Services franchises recorded 80 closures per 100 openings from 2012 to 2022 — the highest churn of any industry tracked (152 systems), against an all-industry figure of 57.8.

Openings vs closures, year by year

Units opened above the line in ink; units closed below it in red. 2018 is not in the source data and is shown as a gap.
2012: 32,424 units opened2012: 18,779 units closed2013: 35,437 units opened2013: 20,163 units closed2014: 36,580 units opened2014: 20,938 units closed2015: 37,954 units opened2015: 21,030 units closed2016: 35,693 units opened2016: 18,222 units closed2017: 29,797 units opened2017: 16,386 units closed2019: 34,761 units opened2019: 20,862 units closed2020: 32,586 units opened2020: 24,572 units closed2021: 32,574 units opened2021: 17,789 units closed2022: 17,643 units opened2022: 9,492 units closed2018: not in source datanodata1213141516171819202122
Unit flows by year
YearUnits openedUnits closedNetClosures per 100 openingsSystems reporting
201232,42418,779+13,64557.91,801
201335,43720,163+15,27456.92,039
201436,58020,938+15,64257.22,065
201537,95421,030+16,92455.42,052
201635,69318,222+17,47151.11,835
201729,79716,386+13,411551,488
201934,76120,862+13,899601,729
202032,58624,572+8,01475.41,834
202132,57417,789+14,78554.61,582
202217,6439,492+8,15153.81,035
2018not in source data — shown as a gap, never estimated
as of 2026-05 · Source: FDD Item 20-style unit histories; closures = terminations + cessations

Read the levels with care: each year's totals cover only the systems reporting that year (right-hand column). Ratios are the honest cross-year comparison; levels are not.

Closures per 100 openings, by year

Closures per 100 openings, by year. The dashed line is parity (100): above it, a year closed more units than it opened. Ratios are comparable across years even though reporting coverage varies; levels are not.
100 = closures match openings2012: 57.9 closures per 100 openings2013: 56.9 closures per 100 openings2014: 57.2 closures per 100 openings2015: 55.4 closures per 100 openings2016: 51.1 closures per 100 openings2017: 55 closures per 100 openings2019: 60 closures per 100 openings2020: 75.4 closures per 100 openings75.42021: 54.6 closures per 100 openings2022: 53.8 closures per 100 openings2018: not in source data1213141516171819202122

3-year unit survival: the distribution

Survival here is our recomputed metric — the share of a system's at-risk units (open at window start, plus opened during the window) that did NOT exit over its three most recent reported years. Brand-weighted, the median system sits at 90.3%, the middle half of systems between 80.4% and 97.7% (n = 2,390). Unit-weighted — letting big systems count for their size — survival is 88% across 581,072 at-risk units with 69,904 exits.

Bar = middle half of brands (25th to 75th percentile of 3-year unit survival); tick = median brand. Axis runs 70–100% (an interval scale — printed here so nobody has to guess). Values below 70% are clamped to the axis edge.
70%80%90%100%Pet Services (n=7)Pet Services (n=7): middle half 94.4%–100%, median 97.6%Pet Services (n=7): median 97.6%Sports & Recreation (n=7)Sports & Recreation (n=7): middle half 78.2%–99.3%, median 95.5%Sports & Recreation (n=7): median 95.5%Home Services (n=101)Home Services (n=101): middle half 85.7%–97.8%, median 92.6%Home Services (n=101): median 92.6%Health & Fitness (n=357)Health & Fitness (n=357): middle half 81.7%–99.7%, median 92.6%Health & Fitness (n=357): median 92.6%Education & Arts (n=17)Education & Arts (n=17): middle half 80.8%–97.1%, median 92.6%Education & Arts (n=17): median 92.6%Auto & Travel (n=105)Auto & Travel (n=105): middle half 84.7%–98.1%, median 91.7%Auto & Travel (n=105): median 91.7%Lodging & Leisure (n=133)Lodging & Leisure (n=133): middle half 82.4%–98.3%, median 91.7%Lodging & Leisure (n=133): median 91.7%Professional Services (n=766)Professional Services (n=766): middle half 80.5%–97.1%, median 89.8%Professional Services (n=766): median 89.8%Food & Beverage (n=767)Food & Beverage (n=767): middle half 78.8%–97.2%, median 89.5%Food & Beverage (n=767): median 89.5%Entertainment & Recreation (n=5)Entertainment & Recreation (n=5): middle half 87.5%–98.9%, median 88.2%Entertainment & Recreation (n=5): median 88.2%Retail (n=120)Retail (n=120): middle half 78.4%–96.7%, median 88.1%Retail (n=120): median 88.1%Event Services (n=5)Event Services (n=5): middle half 85.2%–92.1%, median 85.7%Event Services (n=5): median 85.7%

Industries with single-digit n are shown for completeness, not for conclusions — their quartiles move with every added brand.

The churn table: industries ranked by closure share

Closures per 100 openings by industry, 2012–2022
IndustryClosures per 100 openingsOpenedClosedMedian survivalSystems tracked
Home Services8026,47321,16892.6%152 of 245
Auto & Travel60.612,7617,73391.7%135 of 192
Professional Services59.982,66849,50189.8%1,098 of 1,750
Food & Beverage58.5106,29662,19989.5%1,149 of 1,822
Lodging & Leisure56.317,2369,70291.7%170 of 221
Retail51.228,40914,54188.1%156 of 256
Health & Fitness46.847,88322,41892.6%544 of 895
Education & Arts43.61,10748392.6%23 of 48
Sports & Recreation3240913195.5%11 of 31
Entertainment & Recreation23.91423488.2%8 of 16
Pet Services16.94337397.6%11 of 25
Event Services15.31,63225085.7%8 of 13
as of 2026-05 · Source: FDD Item 20-style unit histories, aggregated per industry

"Systems tracked" is each industry's own coverage disclosure: brands with at least one usable unit-history year, out of all brands we profile in that industry. Rankings weight units, not brands — one large system moves its industry's ratio.

Methodology

Source class
FDD Item 20-style unit histories from a commercial aggregation of US franchise disclosure filings, snapshot dated 2026-05. Per-brand records: units at start of year, opened, terminated, ceased, units at end of year, for 2012–2017 and 2019–2022. 2018 is absent from the source export; we show the gap and never interpolate it.
Definitions
"Closed" = terminations + cessations in the filing year. "Closures per 100 openings" = 100 × total closed ÷ total opened over the stated scope. Openings and closures are unit events, not brand events: one brand contributes many units.
Survival formula (per system)
Window = the system's 3 most recent years with unit-history data (a window may span more than 3 calendar years because 2018 is absent). At-risk = units open at the window's start + all units opened during the window. Exits = all terminations + cessations during the window. Survival = 100 × (1 − exits ÷ at-risk), clamped to 0–100, 1 decimal. Systems with fewer than 3 reported years, or zero at-risk units, are excluded from survival figures — never counted as 0% or 100%.
Aggregation
Distribution figures (median, quartiles) are brand-weighted: every system counts once. Quartiles use linear interpolation (R type 7). The unit-weighted figure sums each system's at-risk units and exits before dividing. Both are published; they answer different questions.
Coverage
3,465 of 5,719 profiled brands (60.6%) have at least one usable unit-history year; 2,390 have the 3 reported years a survival figure requires. Per-year and per-industry Ns are printed beside every table on this page.
Known limitations
  • Reporting coverage varies by year, so year-over-year LEVELS are not comparable; use the ratios.
  • Systems that vanished from disclosure data entirely before the 2026-05 snapshot are not in the denominator — closure figures likely understate true churn, not overstate it.
  • Records are per FDD-filing entity; multi-concept parents are not consolidated.
  • A closure is a unit exit, not necessarily an owner's loss — and an opening is not an owner's success. No earnings data exists in this dataset, and this study makes no profitability claims.
  • The source's own "retention rate" field is corrupt (values above 100% for roughly 1,570 brands) and is never used here; survival is recomputed from the raw unit counts with the formula above.

Reproducibility: every number on this page is computed from the per-brand unit histories, all measured the same way. Recompute it from the same records with the formulas above and you land on the same digits. How we verify figures

Where these numbers come from

Every figure across this site traces to a specific class of franchise disclosure — the Franchise Disclosure Document (FDD) each US franchisor must give a buyer before any signing or payment — not a brochure or a sales page. The numbered items we read:

FDD Item 5 — Initial franchise fee:
the one-time entry fee.
FDD Item 6 — Ongoing fees:
royalty and ad-fund percentages.
FDD Item 7 — Initial investment:
the low-to-high range to open one unit.
FDD Item 12 — Territory:
whether a protected area is granted — negotiated per agreement, not a field we hold.
FDD Item 19 — Financial performance:
the only lawful earnings representation — our dataset holds none, so no page here makes an earnings claim from our data.
FDD Item 20 — Unit history:
openings, closures, terminations, and transfers by year.
FDD Item 3 — Litigation:
the count of disclosed franchise-related lawsuits.

Those items are compiled from a commercial aggregation of US FDD filings and public brand-disclosure listings, a snapshot dated 2026-05. We clean, date, and gap-mark every figure; we do not audit the underlying filings, and the current FDD from the franchisor is the authority you sign against.

Verify any of this independently

You don't have to take our word for the framework. These are the primary, authoritative sources — verify independently at:

Links open on the source's own site. We link them so you can check the rules yourself; we don't control or endorse their content.

How this differs from franchise rankings (Franchise 500 and friends)

Ranked lists like Entrepreneur's Franchise 500 blend system size, growth, brand strength, and franchisor-submitted survey data into a composite score — they measure momentum and market weight. This study measures one thing: filed unit openings, closures, and survival, recomputed from disclosure filings with the formula above.

The two can disagree without either being wrong: a fast-growing, highly ranked system can also churn units, because a composite rank rewards openings while survival counts the exits. Neither number is an endorsement — ours is simply the one you can recompute from the filings yourself, the number that franchise sales pages don't volunteer.

Cite this study

Franchises Opportunity, "The Franchise Unit Track-Record Study, 2012–2022" (FDD Item 20-derived unit histories, data as of 2026-05). https://franchise-opportunity.vercel.app/data/franchise-unit-track-record

Link a specific figure with its anchor: #openings-vs-closures · #median-survival · #worst-closure-year · #highest-churn-industry · #churn-table. Anchors are stable across the study's annual refresh.

Put the numbers to work

Check any single brand

Every indexable brand page carries the same unit history this study aggregates — openings above the line, closures below it, survival computed with the formula published here.

Compare franchise industries