Pick a trade and size
| Band | Low | Mid | High | n |
|---|---|---|---|---|
| < $500k EBITDA | 2.0× | 2.8× | 3.5× | 48 |
| $500k – $1M | 3.5× | 4.8× | 6.0× | 61 |
| $1M – $3M | 5.0× | 6.3× | 7.5× | 73 |
| $3M+ | 7.0× | 8.5× | 10.5× | 29 |
Illustrative. Full open dataset (with sources) ships at /data/multiples.
How to use it
Pick the trade and plug in adjusted EBITDA. The table highlights the size band you're in and shows the typical low/mid/high EBITDA multiple we see for comparable transactions.
- Multiples are indicative, not guarantees. Expect a buyer to work them down for risk.
- Numbers climb with size, recurring revenue, and systems maturity.
- They fall with customer concentration, owner centrality, and swings in LTM.
What it returns
A trade-specific multiple band with sample size, and the implied enterprise value range.
How this tool works
Multiples ship in low, mid, and high bands across four size tiers (sub-$500K, $500K–$1M, $1M–$3M, and $3M+ of adjusted EBITDA). Numbers are curated from announced transactions in home services, with sample sizes shown per band.
These are indicative, not guarantees. Add a premium for recurring revenue above 40% (quantify it with the recurring revenue analyzer), documented systems, and tenure. Discount for customer concentration above 15% (check it with the customer concentration analyzer), owner centrality, and swings in the trailing twelve months.
Cross-check your number with comparable sales and competitor acquisitions. For trade-specific worked examples, see landscaping multiples (2026) and garage door acquisition multiples.
See also on mainstreetwealth.ai
Frequently asked questions
Why are HVAC and pest control multiples different?
Does my location matter?
Are these revenue or EBITDA multiples?
How often is the dataset refreshed?
More on mainstreetwealth.ai
The deeper, trade-specific context on our main site.
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Share a few financials and we'll walk you through what a buyer would actually pay today, with context on how we got there.
Not legal, tax, or financial advice. For a specific recommendation, talk to a licensed advisor.
- Honest range, grounded in trade benchmarks
- Walk-through of each add-back and multiple
- Clear next steps if you decide to go to market