MODEL VERDICT
Brookfield Property Partners L.P. (BPYPO)
Relative Valuation•Peer multiples, Monte Carlo simulation & quality-adjusted fair value
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Composite score derived from valuation, quality, and risk factors
Quantitative model thresholds · For educational and research purposes only
Each row records the model's monthly assessment. High Conviction = the model detected notable undervaluation vs peers. Neutral = no notable divergence was found. The return column shows the actual price change over 90 days for reference. This is a quantitative observation log — not investment advice.
| Date | Assessment | Score | Price | Status | 90d Fwd Return |
|---|---|---|---|---|---|
| May 1, 2026 | MODERATE | 0.64 | $15.36 | CURRENT | — |
| Apr 24, 2026 | MODERATE | 0.64 | $15.40 | CURRENT | — |
| Apr 17, 2026 | MODERATE | 0.64 | $15.25 | CURRENT | — |
| Apr 16, 2026 | MODERATE | 0.64 | $15.28 | CURRENT | — |
| Apr 10, 2026 | MODERATE | 0.64 | $15.26 | CURRENT | — |
Historical model observations for research purposes only. Past quantitative patterns do not predict future results. Not a recommendation to buy, sell, or hold any security.
| Methodology | Fair Value | vs Current | Weight | Quality | Status |
|---|---|---|---|---|---|
| Dividend Yield 5 industry peers | $35.20 | +129.2% | 12% | B | Supplementary |
| Price / Book 8 industry peers | $184.85 | +1103.5% | 8% | B | Model Driven |
| Forward P/E 6 analyst estimates | $78.86 | +413.4% | 5% | A- | Analyst Est. |
| EV To Revenue 9 industry peers | $29.20 | +90.1% | 3% | B | Data |
| Price / Sales 9 industry peers | $108.77 | +608.1% | 2% | B | Model Driven |
| Weighted Output Blended model output | $60.55 | +294.2% | 100% | 66 | SIGNIFICANTLY UNDERVALUED |
Cross-sectional regression predicting expected multiples based on growth, margins, ROIC, and beta.
| Multiple | Avg | Median | Min | Max | Std |
|---|---|---|---|---|---|
| EV/EBIT | 27.91 | 16.97 | 8.99 | 84.32 | 28.57 |
| EV/EBITDA | 24.13 | 17.56 | 14.56 | 59.25 | 17.28 |
| P/FCF | 22.10 | 13.56 | 7.77 | 53.49 | 21.30 |
| P/FFO | 13.04 | 11.00 | 9.16 | 18.95 | 5.20 |
| P/TBV | 0.12 | 0.11 | 0.06 | 0.18 | 0.05 |
| P/AFFO | 54.95 | 15.80 | 11.25 | 137.81 | 71.79 |
| P/B Ratio | 0.12 | 0.11 | 0.06 | 0.18 | 0.05 |
| Div Yield | 0.11 | 0.08 | 0.04 | 0.30 | 0.10 |
| P/S Ratio | 1.01 | 0.85 | 0.44 | 1.78 | 0.59 |
Based on our peer multiples analysis with 14 valuation metrics, the model estimates BPYPO's fair value at $60.55 vs the current price of $15.36, implying +294.2% upside potential. Model verdict: Significantly Undervalued. Confidence: 66/100. This is a quantitative estimate, not a recommendation.
The blended fair value of $60.55 is calculated using four lenses: industry median multiples (40%), historical multiples (30%), forward estimates (20%), and quality-adjusted multiples (10%). Monte Carlo simulation (10,000 iterations) gives a range of $37.23 (P10) to $84.11 (P90), with a median of $55.44.
BPYPO's current P/E of -9.7x compares to the industry median of 24.3x (7 peers in the group). This represents a -140.0% discount to the industry. The historical average P/E is N/Ax over 0 years. Signal: Deep Discount.
4 analysts cover BPYPO with a consensus rating of Buy. The consensus price target is N/A (range: N/A — N/A), implying N/A upside from the current price. Grade breakdown: Strong Buy (0), Buy (2), Hold (2), Sell (0), Strong Sell (0).
The model confidence score is 66/100, based on: data completeness (18), peer quality (25), historical depth (16), earnings stability (5), and model agreement (2). Cyclicality penalty: -0 points. The model shows moderate agreement across inputs.
The model flags several key risks: (1) Macro/regulatory risks are not captured in this model but remain material.
Peak earnings risk data is not available for BPYPO.
No. This dashboard is a quantitative research tool for educational and informational purposes only. It is not investment advice, a solicitation, or a recommendation to buy, sell, or hold any security. The operator of this platform is not a registered investment advisor (RIA), broker-dealer, or financial planner. All model outputs, fair value estimates, signals, and scenarios are the result of automated quantitative computations and should not be construed as professional financial guidance. You should consult a qualified, licensed financial advisor before making any investment decisions. Past model performance is not indicative of future results.