Cost Seg Smart Research

Open-data analysis on cost segregation outcomes, US provider pricing, and depreciation methodology. All releases are CC-BY licensed and free to cite.

Latest Release

STR Cost Segregation Benchmarks by U.S. Market (2026)

Published May 2026  ·  n = 120 fixtures across 24 markets  ·  CC-BY 4.0

Cross-market analysis of cost segregation outcomes across 24 U.S. STR and investor markets — 120 engine-run fixtures (5 per market) revealing how state tax regime, property archetype, and STR regulatory environment compound to produce 5× variance in Year-1 federal tax savings for otherwise-similar investments.

  • Market medians for Year-1 federal tax savings range from $21,886 (Chicago metro LTR) to $107,473 (30A beach SFR STR) — a 5× spread for the same engine methodology
  • 9 markets are in no-state-income-tax states (federal §168(k) is the entire tax-savings story); 3 are federal-conforming; 12 are decoupled or partially decoupled
  • Resort-tier inventory frequently triggers the engine's premium land floor (~50%) — driving the absolute-dollar / percent-of-purchase ROI tradeoff that shapes buyer decisions
Companion Report

Cost Segregation Benchmarks 2026 (Property-Type Focus)

Published April 30, 2026 · Updated May 12, 2026  ·  n = 412 studies  ·  CC-BY 4.0

The original open-data benchmarks report for the cost segregation industry — focused on per-property-type outcomes across 13 US property types. The per-property-type lens complements the per-market lens of the report above.

  • Furnished STRs reclassify ~63% more depreciable basis than unfurnished SFRs (median 29.8% vs. 18.3%)
  • Year-1 federal tax savings on a $500K STR (37% bracket, 100% bonus): median $43,695
  • US cost segregation pricing ranges from $495 to $15,000+ — a 30× spread for the same IRS-compliant methodology
Coming Q1 2027

Cost Segregation Benchmarks 2027 (Annual Refresh)

Planned for Q1 2027

Annual refresh of the 2026 dataset with RSMeans 2026 cost basis, expanded sample (target n ≥ 250 studies), and additional property type coverage.

Have a question, citation request, or methodology challenge? Email research@costsegsmart.com.