Engine-derived ROI data from 5 representative Maui-area properties. Methodology transparent below. CC-BY 4.0, journalists, CPAs, and researchers may cite this dataset with attribution.
Important framing: These are engine outputs for representative fixture scenarios, not predictions about any specific property. The cost segregation engine takes real property data (address, year built, square footage, renovation history, assessor records) and produces a study tailored to your actual property. The aggregate numbers shown here describe the Maui market's general profile; your specific results will reflect your specific property.
Each fixture was run through the Cost Seg Smart engine, the same engine that produces real customer studies. Numbers below are reproducible from cities/maui.json via scripts/run_city_stats.py.
| Property | Neighborhood | Price | Basis | Land % | 5-yr | 15-yr | Reclass % | Y1 fed savings @ 37% |
|---|---|---|---|---|---|---|---|---|
| Kaanapali Condo (regulatory-risk flagged) CONDO · STR · Built 2002 |
West Maui (Kaanapali / Lahaina area) | $1,485,000 | $823,432 | 44.5% | $163,500 | $53,324 | 26.9% | $81,951 |
| Wailea Resort Condo CONDO · STR · Built 2008 |
South Maui (Wailea / Kihei) | $1,850,000 | $1,045,250 | 43.5% | $203,228 | $66,969 | 26.4% | $102,062 |
| Upcountry Kula SFR SFR · STR · Built 1998 |
Upcountry Maui (Kula / Makawao) | $1,125,000 | $618,750 | 45.0% | $124,500 | $41,406 | 27.4% | $62,694 |
| Hana Rural Vacation Rental SFR · STR · Built 2010 |
Hana (East Maui rural) | $925,000 | $526,602 | 43.1% | $103,298 | $33,579 | 26.6% | $51,846 |
| Paia North Shore SFR LTR SFR · Built 2005 |
North Shore (Paia / Haiku) | $1,325,000 | $728,750 | 45.0% | $76,167 | $49,429 | 17.2% | $46,470 |
| Engine property type | Fixtures | Median reclass % | Min | Max |
|---|---|---|---|---|
| CONDO | 2 | 26.7% | 26.4% | 26.9% |
| SFR | 3 | 26.6% | 17.2% | 27.4% |
"STR" denotes residential property operating as a short-term rental, the engine applies an FF&E density uplift not captured in the LTR (long-term rental) treatment.
| Neighborhood | Typical value | Typical land allocation | Profile note |
|---|---|---|---|
| West Maui (Kaanapali / Lahaina area) | $1,850,000 | ~38% | Highest STR concentration historically. CRITICAL: post-2023 fires, this area is subject to active phase-out plans affecting thousands of properties. Highest regulatory risk in the network. |
| South Maui (Wailea / Kihei) | $1,485,000 | ~34% | Resort condo and SFR market. Subject to county STR ordinance and pending phase-out review. High land allocation due to resort-location scarcity premium. |
| Upcountry Maui (Kula / Makawao) | $1,125,000 | ~26% | Higher-elevation residential away from beach corridors. Lower land allocation. Less STR-dependent, more residential-resident orientation, lower phase-out risk. |
| Hana (East Maui rural) | $925,000 | ~22% | Remote east-Maui rural sub-market. Lower land allocation. Niche vacation-rental product with eco-tourism focus. |
| North Shore (Paia / Haiku) | $1,325,000 | ~30% | Surfing-and-windsurfing-anchored sub-market. Mix of vacation rental and primary residence. Mid-tier land allocation. Lighter STR-phase-out exposure than West and South Maui. |
The "typical land allocation" column reflects baseline patterns for each sub-market based on county assessor records and statistical modeling. For specific properties where reconstruction cost (RSMeans 2024 component build-up adjusted for time and geography) exceeds 2.0× the implied depreciable basis after subtracting the baseline land, the engine applies a premium land floor (~50%) to keep the study within audit-defensible territory. This typically affects ultra-premium resort inventory (ski-in/ski-out, beachfront, view-premium properties), where land scarcity premium dominates the purchase price. The per-fixture table above shows the actual land_source used by the engine for each fixture, values of statistical_premium_floor indicate the premium-floor mechanism was applied.
The takeaway: typical neighborhood allocations describe the market baseline. Individual property results depend on specific reconstruction-cost-vs-purchase-price ratios, and ultra-premium product may show higher land allocation in the engine output than the neighborhood typical.
Hawaii partially decouples from federal §168(k), HI requires addbacks for federal bonus depreciation with recovery on the regular MACRS schedule for state purposes. Combined with Hawaii's top 11% state rate, the state-side timing mismatch on cost-seg acceleration is meaningful. The federal §168(k) acceleration is unaffected; the HI-side reconciliation defers state benefit over the regular MACRS schedule.
Decoupling: Hawaii has periodically modified bonus depreciation conformity. Verify current-year treatment with your CPA.
State income tax structure: Progressive 12-bracket schedule, among the highest state-level individual rates in the United States
Verify with your CPA. State tax conformity for federal §168(k) is adjusted frequently. Framing reflects our understanding as of May 2026, verify current-year treatment with a qualified tax professional.
Every figure on this page is reproducible. The pipeline:
cities/maui.json under the engine_fixtures array, each with address, property type, purchase price, year built, square footage, and STR/LTR flag.scripts/run_city_stats.py instantiates a PropertyInput for each fixture and calls engine.run_study(), the same path that produces a real customer study.For full methodology details including QC validation, reconciliation logic, and audit-defense documentation, see costsegsmart.com/methodology.
This dataset is licensed under the Creative Commons Attribution 4.0 International License. You may republish, remix, or extend this data for any purpose with attribution. Suggested citation format:
Cost Seg Smart Research Team. (2026). "Maui, HI Cost Segregation Benchmarks 2026." Cost Seg Smart. 5 representative fixtures. Retrieved from https://mauicostseg.com/data/maui-cost-seg-stats/
For interview requests, additional data slices, or related questions: [email protected].