Engine-derived ROI data from 5 representative Denver-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 Denver 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/denver.json via scripts/run_city_stats.py.
| Property | Neighborhood | Price | Basis | Land % | 5-yr | 15-yr | Reclass % | Y1 fed savings @ 37% |
|---|---|---|---|---|---|---|---|---|
| LoHi Bungalow Flip SFR · Built 1923 |
LoHi / Highlands (Northwest Denver) | $825,000 | $601,260 | 27.1% | $52,167 | $41,440 | 15.6% | $34,635 |
| Park Hill SFR Investor SFR · Built 1948 |
Park Hill / Stapleton (Central Park) | $685,000 | $489,570 | 28.5% | $47,159 | $33,271 | 16.4% | $29,759 |
| Berkeley SFR + Detached ADU SFR · Built 1952 |
Berkeley / Sloan's Lake | $745,000 | $530,514 | 28.8% | $49,928 | $37,957 | 16.6% | $32,517 |
| Cherry Creek Condo CONDO · Built 2009 |
Cherry Creek / Glendale | $985,000 | $489,196 | 50.3% | $51,192 | $4,625 | 11.4% | $20,653 |
| Lakewood Jeff County STR SFR · STR · Built 1968 |
Suburban Jefferson County (Lakewood / Wheat Ridge) | $545,000 | $413,982 | 24.0% | $66,935 | $28,739 | 23.5% | $35,987 |
| Engine property type | Fixtures | Median reclass % | Min | Max |
|---|---|---|---|---|
| SFR | 4 | 16.5% | 15.6% | 23.5% |
| CONDO | 1 | 11.4% | 11.4% | 11.4% |
"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 |
|---|---|---|---|
| LoHi / Highlands (Northwest Denver) | $825,000 | ~30% | Pre-war 1920s bungalow stock heavily renovated post-2010. High land allocation reflects neighborhood-scarcity premium. Fix-and-flip + ADU developer market; some STR-allowed via Denver's primary-residence host requirement. |
| Park Hill / Stapleton (Central Park) | $685,000 | ~26% | Mix of pre-war Park Hill bungalow stock and Stapleton/Central Park new-build (post-2005). Lower land allocation than LoHi. Strong investor activity on rental SFR and ADU additions. |
| Berkeley / Sloan's Lake | $745,000 | ~28% | 1940s–1960s SFR with substantial post-2015 renovation. ADU rush since 2018 Denver ADU expansion. Mid-tier land allocation, strong fix-and-flip activity. |
| Cherry Creek / Glendale | $985,000 | ~34% | Higher-priced SFR and condo market southeast of downtown. Heaviest land allocation in our Denver fixtures. Better suited to single-family rental hold strategies than fix-and-flip. |
| Suburban Jefferson County (Lakewood / Wheat Ridge) | $545,000 | ~22% | Lower-cost SFR rental market outside Denver city limits, Jefferson County jurisdiction, no Denver STR ordinance. Lower land allocation. Stronger long-term-rental cash flow profile. |
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 2026 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.
Colorado conforms to federal §168(k) bonus depreciation. The 100% federal bonus restored under OBBBA reduces both your federal AND Colorado liability in the same year, with no addback or decoupling. Combined with Colorado's flat 4.40% rate computed on federal taxable income, Denver cost-seg studies produce the full federal-plus-state Year-1 acceleration cleanly.
State income tax structure: Flat single rate on federal taxable income
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/denver.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). "Denver, CO Cost Segregation Benchmarks 2026." Cost Seg Smart. 5 representative fixtures. Retrieved from https://denvercostseg.com/data/denver-cost-seg-stats/
For interview requests, additional data slices, or related questions: [email protected].