Cost Segregation Benchmarks: What 8,000+ Studies Reveal About Typical Savings
A data-driven analysis of reclassification rates, savings ranges, and IRS-safe allocation percentages across 45 property types.
Matthew Gigantelli
Lead Cost Seg Engineer · ASCSP M009-25
One of the most common questions I receive from both investors and CPAs is deceptively simple: "What should I expect from a cost segregation study?" After personally engineering or reviewing thousands of studies across dozens of property types, I decided to compile the data rather than rely on anecdotes. The result is a benchmark dataset drawn from over 8,000 completed engineering-based cost segregation studies spanning 45 distinct asset classes.
The cost segregation industry has historically kept allocation benchmarks proprietary. That protects providers but leaves investors and their advisors without a baseline to evaluate whether a study result is reasonable, conservative, or dangerously aggressive. This article is my attempt to change that by publishing the actual numbers.
Benchmark highlights
Key Findings at a Glance
- Median total accelerated allocation: 24.0% of depreciable basis (baseline), 38.0% (upper range)
- Average 5-year property allocation: 16.3% (range: 5%-33% by asset class)
- Average 15-year property allocation: 11.4% (range: 0%-68% by asset class)
- Highest reclassification rates: Gas stations, car washes (80-100% of basis)
- Lowest reclassification rates: High-rise offices, industrial warehouses (12-15%)
Why Benchmarks Matter: The Anchor Number
The 24% median is the number I anchor to when evaluating any study. If someone tells you they are getting a 45% accelerated allocation on a standard apartment building, that result falls outside what 8,000 studies support. It should trigger questions about methodology, not celebration about savings.
Benchmarks serve three critical functions. First, they give investors a realistic expectation before commissioning a study, preventing both disappointment from conservative results and false confidence from inflated ones. Second, they give CPAs an independent reference point to evaluate the study their client received from any provider. Third, they protect against aggressive providers who inflate reclassifications to justify percentage-of-savings fees.
Reclassification Rates by Property Type
The following table summarizes allocation data across the most common property types. "Baseline" represents the conservative-to-moderate range that reflects typical construction and condition. "Upper range" represents properties with above-average amenities, extensive site improvements, or newer construction with premium finishes.
| Property Type | 5-Year % | 15-Year % | Total Accelerated (Baseline) | Total Accelerated (Upper) |
|---|---|---|---|---|
| Single-Family Rental | 15-20% | 5-12% | 22-28% | 30-35% |
| Small Multifamily (2-4 units) | 14-19% | 6-14% | 22-30% | 32-38% |
| Large Multifamily (50+ units) | 12-18% | 8-15% | 23-30% | 33-40% |
| Office Building | 10-15% | 5-10% | 18-25% | 28-35% |
| Retail / Strip Mall | 12-18% | 15-25% | 30-40% | 38-48% |
| Hotel / Hospitality | 18-25% | 5-10% | 25-33% | 35-42% |
| Industrial / Warehouse | 5-10% | 5-8% | 12-18% | 20-25% |
| Restaurant | 22-30% | 8-15% | 32-42% | 40-50% |
| Gas Station / Car Wash | 35-50% | 30-50% | 70-90% | 85-100% |
| Condo Unit | 25-33% | 0% | 25-33% | 30-38% |
A few patterns stand out. Condo units consistently show 0% allocation to 15-year property because the unit owner typically does not own the site improvements (parking, landscaping, common areas belong to the HOA). Condos compensate with higher 5-year allocations because the interior finish-out represents a larger share of the unit's basis. Gas stations and car washes dominate the top of the chart because these properties are essentially equipment and pavement with a small structural shell. The majority of their cost is in fuel dispensing systems, canopy structures, paving, and specialty equipment, all of which qualify for accelerated recovery periods.
Estimated Tax Savings by Property Value
The following table translates benchmark allocation percentages into estimated first-year tax savings at a 37% marginal rate, assuming 100% bonus depreciation on reclassified components and a 24% median accelerated allocation.
| Purchase Price | Depreciable Basis (80%) | Accelerated (24%) | Est. Year-1 Savings (37%) |
|---|---|---|---|
| $250,000 | $200,000 | $48,000 | ~$17,760 |
| $400,000 | $320,000 | $76,800 | ~$28,416 |
| $600,000 | $480,000 | $115,200 | ~$42,624 |
| $1,000,000 | $800,000 | $192,000 | ~$71,040 |
| $2,000,000 | $1,600,000 | $384,000 | ~$142,080 |
What Qualifies as 5-Year Property
Five-year property under MACRS includes tangible personal property that is not permanently attached to the building structure. Based on the dataset, the most commonly reclassified 5-year components are carpet and vinyl flooring, cabinetry and millwork, appliances, specialty electrical (dedicated circuits, decorative lighting), decorative fixtures, kitchen equipment in commercial properties, security and fire alarm systems, window treatments, and movable partitions in office settings.
The legal framework for what qualifies as personal property versus structural rests on several key court decisions, particularly Whiteco Industries v. Commissioner (65 T.C. 664, 1975) and Hospital Corporation of America v. Commissioner (109 T.C. 21, 1997). The Whiteco factors test examines whether an item is permanently affixed, designed to remain in place, and integral to building function. Items that fail these permanency tests are classified as personal property eligible for shorter recovery periods.
What Qualifies as 15-Year Property
Fifteen-year property consists of land improvements: structures attached to the land but separate from the building. The most commonly reclassified 15-year components include parking lots and driveways, landscaping (trees, shrubs, sod, planting beds), fencing of all types, sidewalks and walkways, exterior site lighting, retaining walls, storm drainage systems, irrigation systems, swimming pools and recreational structures, and site signage.
Fifteen-year property is where many investors leave the most money on the table. A property with a large parking lot, extensive landscaping, and perimeter fencing can easily have 15-20% of its depreciable basis in land improvements alone. But these components are only captured if the study specifically identifies and photographs them during the inspection process. For more on what to document, see our guide on cost segregation site inspections.
What Drives the Gap Between Baseline and Upper Range
The gap between baseline and upper-range allocations averaged 12.2 percentage points across all asset classes. That variability is driven by five primary factors:
1. Property Age and Condition
Newer properties with modern finishes and systems have more identifiable short-lived components. A 2022 construction with granite countertops, luxury vinyl plank, and smart home systems will reclassify more than a 1985 cinder-block rental with original finishes.
2. Extent of Site Improvements
Properties with large parking areas, extensive landscaping, perimeter fencing, and site lighting generate significantly higher 15-year allocations. A suburban retail center with a 200-space parking lot will have 15-20% of its basis in site improvements alone.
3. Specialty Equipment
Properties with specialized equipment (commercial kitchens, manufacturing systems, medical equipment) have higher 5-year allocations. This is why restaurants and medical facilities outperform generic office buildings.
4. Amenity Level
Properties with swimming pools, fitness centers, clubhouses, and premium common areas have more reclassifiable components. A Class A apartment complex with a resort-style pool and outdoor kitchen will significantly exceed baseline allocations.
5. Study Methodology and Thoroughness
A full engineering-based study with property-specific analysis will consistently identify more reclassifiable components than a template-based or desktop study. The quality of the inspection directly affects the quality of the result.
When Results Should Raise Questions
Based on this dataset, the interquartile range for standard residential and commercial properties is 22-28% total accelerated allocation. A result above 32% (the 90th percentile) on a standard property is statistically unusual and warrants additional scrutiny. A result above 40% on a standard apartment building or office is outside the bounds of what the data supports.
That does not mean high results are automatically wrong. A renovated restaurant with commercial kitchen equipment, a retail property with a massive parking lot, or a newly constructed short-term rental with premium finishes can legitimately exceed 35%. But the property-specific justification must be documented in the study. If the report does not explain why the allocation exceeds industry norms, that is a red flag. For more on identifying problematic studies, see our guide on cost segregation red flags.
How to Use These Benchmarks
If you are an investor evaluating whether to commission a study, use the table above to estimate your potential first-year savings. If the savings at the 24% median significantly exceed the study cost, it is likely worth pursuing. Our free cost segregation calculator provides property-specific estimates that refine these benchmarks for your situation.
If you are a CPA reviewing a study your client received, compare the reclassification percentages to the ranges in the property-type table. If the result falls within the baseline-to-upper range for that property type, it is within normal bounds. If it significantly exceeds the upper range without a clear property-specific explanation, it may warrant a conversation with the provider about methodology.
If you are evaluating cost segregation providers, ask them what allocation percentage they typically achieve for your property type. Compare their answer to these benchmarks. A provider who promises results dramatically above the upper range may be using aggressive classifications that could create audit exposure. A provider who consistently delivers results below the baseline may be using a less thorough methodology.
For benchmark data from 8,000+ cost segregation studies, see Overline's benchmark data from 8,000+ studies.