Engine-derived ROI data from 5 representative Bozeman-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 Bozeman 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/bozeman.json via scripts/run_city_stats.py.
| Property | Neighborhood | Price | Basis | Land % | 5-yr | 15-yr | Reclass % | Y1 fed savings @ 37% |
|---|---|---|---|---|---|---|---|---|
| Downtown Bozeman SFR STR SFR · STR · Built 2010 |
Downtown Bozeman | $985,000 | $816,959 | 17.1% | $151,451 | $52,682 | 25.4% | $76,915 |
| MSU-Adjacent Student Rental SFR · Built 2005 |
MSU-Adjacent Residential | $725,000 | $599,140 | 17.4% | $61,192 | $39,940 | 16.9% | $37,419 |
| Bridger Foothills New-Build STR SFR · STR · Built 2018 |
Bridger Foothills (north) | $925,000 | $769,045 | 16.9% | $151,301 | $46,709 | 26.4% | $75,023 |
| Gallatin Gateway Big Sky Feeder STR SFR · STR · Built 2014 |
Gallatin Gateway / Four Corners (Big Sky corridor) | $825,000 | $678,398 | 17.8% | $130,794 | $43,285 | 26.2% | $65,712 |
| Belgrade Suburban LTR SFR · Built 2012 |
Belgrade / suburban Gallatin County | $525,000 | $426,615 | 18.7% | $44,000 | $28,812 | 17.1% | $26,940 |
| Engine property type | Fixtures | Median reclass % | Min | Max |
|---|---|---|---|---|
| SFR | 5 | 25.4% | 16.9% | 26.4% |
"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 |
|---|---|---|---|
| Downtown Bozeman | $985,000 | ~30% | Walkable downtown core with historic and post-2010 mixed stock. Higher land allocation due to walkability premium. Mix of SFR and townhome. |
| MSU-Adjacent Residential | $725,000 | ~26% | Residential market within walking distance of Montana State University. Strong student-rental LTR demand. Mid-tier land allocation. |
| Bridger Foothills (north) | $925,000 | ~24% | Newer-construction SFR in the Bridger Mountain foothills north of Bozeman. Lower land allocation. Mix of primary residence and vacation STR. |
| Gallatin Gateway / Four Corners (Big Sky corridor) | $825,000 | ~22% | Gallatin Gateway and Four Corners corridors between Bozeman and Big Sky Ski Resort. Strong ski-feeder STR demand. Lower land allocation. |
| Belgrade / suburban Gallatin County | $525,000 | ~18% | Suburban Belgrade and West Yellowstone-feeder corridor. Lower entry pricing, lowest land allocation. Mix of LTR rental and emerging STR. |
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.
Montana partially decouples from federal §168(k) bonus depreciation. MT historically required addbacks for federal bonus depreciation with recovery over the regular MACRS schedule for state purposes. For 2025+ acquisitions under OBBBA's 100% federal bonus, the MT-side timing mismatch is modest at the 5.9% top rate. The federal §168(k) acceleration is unaffected; only the MT Schedule reconciliation is the variable.
Decoupling: Montana has periodically modified bonus depreciation conformity. Verify current-year treatment with your CPA.
State income tax structure: Progressive but flattened with 2024 reform; lower top rate after recent reductions
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/bozeman.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). "Bozeman, MT Cost Segregation Benchmarks 2026." Cost Seg Smart. 5 representative fixtures. Retrieved from https://bozemancostseg.com/data/bozeman-cost-seg-stats/
For interview requests, additional data slices, or related questions: [email protected].