ZECKENDORF TOWERS (1 IRVING PLACE)
1. BUILDING OVERVIEW (ANALYST FRAMING)
Building Type: Postwar Condo (Vintage 1987)
Scale: 670 Units
Classification: Yield-Oriented
Justification: Zeckendorf Towers functions as a high-velocity turnover machine characterized by smaller unit sizes and exceptional rental absorption. While the building tracks the general market beta, post-sponsor appreciation has flattened significantly compared to the 2015-2016 peak, typical of mature inventory. The primary value proposition in the current market regime is Rent Capture rather than aggressive capital appreciation. The building exhibits high liquidity with a transaction-weighted focus on 1-bedroom and studio units, providing defensive cash flow characteristics despite volatility in resale pricing.
Sponsor Normalization Disclosure:
Transactions Reclassified: 0.
Context: The building was built in 1987. The provided dataset begins circa 1999/2003, placing it well outside the 5-year sponsor window. All data analysis reflects mature resale behavior.
2. UNIT MIX & COMPOSITION
The inventory is heavily skewed toward efficient, smaller layouts, creating a "pyramid" structure of liquidity.
1-Bedroom: Dominant share. 170 resale transactions recorded (~68% of analyzed sales activity).
Studio: 53 resale transactions (~21% of activity).
2-Bedroom: 28 resale transactions (~11% of activity).
3-Bedroom+: 18 resale transactions (<1% of activity).
Analysis: This unit mix imbalance drives the building's specific behavior:
Liquidity Stability: The concentration of 1-bedroom units creates a deep market, preventing "air pockets" in pricing often seen in buildings with heterogeneous inventory.
Rent Capture: The small average unit size (approx. 670–800 SF for 1-beds) maximizes price-per-square-foot (PPSF) rent yields, as smaller units typically command higher rent multipliers.
3. LINE (STACK) PERFORMANCE — RESALE ONLY
A. Liquidity (Speed) Smaller units clear the market significantly faster than combined or large units.
1-Bedrooms: Median DOM 56 Days (Fastest).
Studios: Median DOM 60 Days.
2-Bedrooms: Median DOM 68 Days.
3-Bedrooms: Median DOM 69–105 Days (Slowest/Volatile).
B. Price Strength & Dispersion
Building Median PPSF: ~$1,372.
Line Dispersion: Significant premiums exist based on line-level premium persistence.
Premium Lines: High-floor units (e.g., G20A at $1,937 PPSF, V12F at $1,898 PPSF) trade at ~30-40% premiums over the median.
Discount Lines: Lower floor or obstructed units (e.g., P7R at $1,496 PPSF, U15F at $1,439 PPSF) trade near or below building median.
C. Appreciation The building tracks the NYXRCSA benchmark over the long term (2002–2025) but exhibits market regime timing vulnerability in the short term.
Compounding: Long-term holds (10+ years) show reliable CAGR (approx 3-5%).
Mean-Reversion: Short-term holds (2016–2025) often show flat or negative appreciation due to the 2015-2016 pricing peak.
4. BUILDING-WIDE PPSF TREND (NORMALIZED)
Phase 1 (Growth): 2004–2015. Consistent compounding. PPSF rose from ~$800 to ~$1,600+.
Phase 2 (Peak): 2015–2017. Sales frequently cleared $1,700–$2,000 PPSF.
Phase 3 (Drawdown): 2018–2021. Reversion to $1,300–$1,500 PPSF range.
Phase 4 (Current): 2024–2025. Cyclical. Prices have stabilized around $1,400–$1,500 PPSF, with premium lines pushing $1,900. The building is currently underperforming the general Gramercy sub-market price.
Conclusion: Cyclical / Yield-Supported. Appreciation is currently stalled, relying on yield to support value.
5. RENT CAPTURE ANALYSIS
A. Rent Capture by Unit Type The building is a highly efficient income generator. DOM is exceptionally low, minimizing leakage.
Studios (approx. 460 SF):
Avg Rent: ~$3,600–$4,000/mo.
Rent/SF: ~$95–$100/yr.
Rental DOM: Often single digits (e.g., Unit U9H: 6 days; Unit G14H: 70 days).
Rent Capture: High.
1-Bedrooms (approx. 670–700 SF):
Avg Rent: ~$4,800–$5,500/mo.
Rent/SF: ~$85–$95/yr.
Rental DOM: Extremely fast (e.g., Unit U11D: 4 days).
Rent Capture: Very High.
B. Effective Rent Calculation (Example)
Unit U11D (Nov 2025):
Achieved Rent: $5,575/mo.
DOM: 4 Days.
Effective Annual Rent = $(5,575 \times 12) \times (365 - 4) \div 365 = $66,168$.
Leakage is negligible due to high liquidity.
6. B³ SCORING SYSTEM (0–100)
A. Liquidity Score: 85
Speed: Median DOM of 59 days is excellent for a resale building of this vintage.
Depth: High volume of trades (170+ 1-beds) ensures market clearing.
B. Rent Capture Score: 88
Efficiency: Rent/SF is strong (~$90/SF).
Absorption: Rental DOM is frequently <15 days. Income leakage is minimal.
C. Appreciation Score: 60
Magnitude: Long-term CAGR is positive, but medium-term (5-7 year) is flat/negative.
Durability: Vulnerable to market regime shifts; 2016 buyers are still underwater or flat.
7. COMPOSITE SCORE & CLASSIFICATION
Composite Score = 78.6
$(85 \times 0.35) + (88 \times 0.30) + (60 \times 0.35) = 29.75 + 26.4 + 21.0 = 77.15 \approx 77$
Category Assignment: Yield-Oriented
Criteria: Rent Capture $\ge$ 75 (Score: 88) and Liquidity $\ge$ 60 (Score: 85).
8. TRANSACTION EXAMPLES
Resale Appreciation (Long Term / Timing)
Unit G20D:
Buy: $547,000 (Dec 2002)
Sell: $999,000 (Apr 2021)
Driver: Market Regime Timing (captured nearly 20 years of macro growth).
Unit V7D:
Buy: $845,000 (Mar 2013)
Sell: $1,300,000 (Dec 2017)
Driver: Market Regime Timing (Sold into the peak).
Unit U16A:
Buy: $855,000 (Jul 2009)
Sell: $1,348,000 (May 2020)
Driver: Market Regime Timing (Post-GFC recovery).
Unit V16A:
Buy: $995,000 (Aug 2013)
Sell: $1,390,000 (Nov 2017)
Driver: Line-level premium persistence (V-line premium maintained).
Resale Depreciation / Flat (Cycle High Buyers)
Unit V15F:
Buy: $1,250,000 (Feb 2024) (Listing prior) -> Data shows fluctuating asks
Clearer Example: Unit U9B:
Buy: $1,900,000 (Oct 2023)
Ask History/Valuation comparison: Similar units traded for ~$1.3M in 2011. The high price in 2023 reflects premium, but recent comps like U12B ($1.3M in 2022) suggest volatility.
Specific Depreciation: Unit P10B
Buy: $1,410,000 (May 2016)
Sell: $1,165,000 (Sep 2024)
Result: -17% Loss.
Driver: Market Regime Timing (Bought at 2016 peak, sold in current rate environment).
Unit G21A:
Buy: $1,400,000 (Aug 2016)
Sell: $1,295,000 (Dec 2019)
Result: -7.5% Loss.
Driver: Market Regime Timing (Correction from peak).
Unit U12F:
Buy: $1,350,000 (Oct 2016)
Sell: $1,350,000 (Jun 2025)
Result: 0% Gain (Flat over 9 years). Real loss after inflation/fees.
Driver: Market Regime Timing.
Unit U17E:
Buy: $1,250,000 (Jul 2023)
Vs Peak Comps: Similar units traded higher in 2016.
Context: Flat performance characterizes the post-2016 cohort.
9. RISKS & RED FLAGS
The "2016 Trap": Do NOT buy anticipating rapid appreciation if paying near 2016 peak PPSF ($1,700+). The building has demonstrated mean reversion to the $1,400 PPSF range.
Volatile 3-Bed Liquidity: Large units (3-bed+) have significantly longer DOM and erratic pricing. They lack the liquid depth of the 1-bedroom market.
Yield Dependence: Valuation is heavily supported by the rental market. If rents soften, the asset value (PPSF) has little "prestige" buffer to prevent a slide.
10. EXECUTIVE SUMMARY
Zeckendorf Towers is a Yield-Oriented defensive asset that functions as a high-velocity housing utility for the Gramercy market. Post-sponsor behavior shows exceptionally high liquidity and rent capture efficiency, driven by a transaction-weighted unit mix of studios and 1-bedrooms. While the building generates consistent income with minimal vacancy leakage, capital appreciation has been flat-to-negative for owners who entered during the 2015–2017 market peak. Opportunity lies in acquiring renovated lines near the $1,400 PPSF support level for cash flow; risk lies in overpaying for "lifestyle" attributes in a building that mathematically behaves like a fixed-income bond proxy.
B³ SCORECARD
Building: Zeckendorf Towers (1 Irving Place)
Category: Yield-Oriented
Composite Score: 77
Pillar | Score | Key Metric |
Liquidity | 85 | Median Resale DOM: 59 Days |
Rent Capture | 88 | Rental DOM often < 15 Days |
Appreciation | 60 | Flat/Negative since 2016 Peak |
Unit Mix Summary:
Studio/1-Bed: 89% of Activity (High Liquidity)
2-Bed+: 11% of Activity (Volatility Risk)