Rating: HOLD
| Metric | Value |
|---|---|
| Current Price | $151 |
| Triangulated Fair Value | $137 |
| 12-mo Scenario PWEV | $156 |
| Implied Return | -10% |
| Forward P/E | 31.0x |
| Market Cap | $24B |
| 52-Week Range | $135 – $200 |
Methodology: Valuation triangulated across five independent anchors — Monte Carlo (Student-t + regime switching), an independent DCF, peer re-rating, a sum-of-parts, and a scenario-weighted PWEV. Figures reconciled to Alpha Vantage 2026-06-27. Each chart below sits with the part of the thesis it evidences.
Investment Thesis
The bull case — 'Bull — Re-Rate' (8% weight) — targets $276, +83% vs spot. It needs Gross Margin to surprise to the upside.
The dashboard below is the whole argument on one page: spot ($151) against each valuation anchor, the scenario tree, technicals and the options-implied move.
Anti-Thesis (The Real Bear Case)
The structural case — 'Structural — Freight-Margin Reset / Disintermediation' (20%) — targets $69, -55% vs spot. This sits below the 52-week low — a genuine structural impairment, not a mild pullback.
Key Debate
Gross Margin explains 59% of Monte Carlo outcome variance — the single variable that decides which side is right.
Scenario Analysis
The tree runs from a structural 'Structural — Freight-Margin Reset / Disintermediation' downside ($69) to a 'Bull — Re-Rate' bull case ($276); the probability-weighted blend (PWEV $156) is +3% versus spot.
| Scenario | Probability | Target | Return |
|---|---|---|---|
| Structural — Freight-Margin Reset / Disintermediation | 20% | $69 | -55% |
| Freight Recession | 17% | $116 | -23% |
| Base — Volume + Yield Normalisation | 35% | $162 | +7% |
| Upcycle — Tight Capacity / E-Com Volumes | 20% | $218 | +45% |
| Bull — Re-Rate | 8% | $276 | +83% |
| Probability-Weighted (PWEV) | — | $156 | +3% |
Scenario rationale — what each probability buys (the driver path behind every target):
- Structural — Freight-Margin Reset / Disintermediation (20%, $69). Structural impairment — freight-margin reset / disintermediation: earnings AND the multiple compress together. Target sits below the 52-week low by construction. Drivers — implied_target: 68.57; probability: 0.2.
- Freight Recession (17%, $116). Cyclical downturn — freight volumes + yields (parcel/LTL/forwarding) + the freight cycle + fuel weakens for 1–2 years before normalising. Drivers — implied_target: 116.44; probability: 0.17.
- Base — Volume + Yield Normalisation (35%, $162). Mid-cycle — normalised freight volumes + yields (parcel/LTL/forwarding) + the freight cycle + fuel; disciplined capital allocation; steady returns. Drivers — implied_target: 161.73; probability: 0.35.
- Upcycle — Tight Capacity / E-Com Volumes (20%, $218). Upside — tight capacity + e-com volumes lifts earnings above mid-cycle; the multiple expands modestly. Drivers — implied_target: 218.33; probability: 0.2.
- Bull — Re-Rate (8%, $276). Upside tail — sustained tight conditions or a structural re-rate on tight capacity + e-com volumes. Drivers — implied_target: 275.75; probability: 0.08.
Valuation Triangulation
Five anchors — but read them with their basis in mind. The Monte Carlo, the DCF terminal, and the peer re-rate all key off a market multiple, so they are not fully independent; only the discounted cash flows themselves are genuinely multiple-free. The discipline is to read the spread and weight the cash-based view, not to treat five numbers as five independent votes.
| Method | Basis | Fair Value | vs Spot |
|---|---|---|---|
| Monte Carlo median (Student-t + regime) | multiple | $137 | -9% |
| Peer P/E re-rate | multiple | $148 | -2% |
| Peer EV/Revenue re-rate | multiple | $290 | +92% |
| Scenario PWEV | multiple | $156 | +3% |
| DCF (5-year + terminal) | cash flow + terminal × | $119 | -21% |
| Triangulated (weighted) | — | $137 | -10% |
Monte Carlo — the distribution, not a point
10,000 paths, Student-t shocks (fat tails) with a regime-switching overlay. The median lands at $137 and 44% of paths finish above spot. The variance decomposition shows the gross margin is the dominant swing factor (59% of variance). The fundamental driver, not the multiple, sets the spread — a cleaner setup.
DCF — the cash-flow anchor
Independent of the market multiple: a 5-year path, WACC 9.0%, 27x terminal FCF multiple → $119. This anchor is deliberately the heaviest (41%): it is the valuation least hostage to the current multiple regime.
Peer benchmarking — relative value
Against the peer cohort, re-rating to the peer-median forward multiple (P/E 30.445x) implies $148. A premium is only justified by superior growth/margins; otherwise it is multiple risk. Weighted just 12% so the market's mood does not drive the fair value.
Across all anchors the spread is tight (the methods corroborate one another).
Revenue-Segment Breakdown
The company-specific drivers behind the valuation — each segment carries its own growth, margin, multiple and capex intensity. (Tags: FACT reported · ESTIMATE from disclosures · INFERENCE judgment.)
| Segment | Revenue | Mix | Growth | Op margin | Multiple | Capex % | Tag |
|---|---|---|---|---|---|---|---|
| Freight & Logistics | $8.7B | 100% | 4% | 11% | 32x | 6% | ESTIMATE |
Named Exposures
Demand & pricing cycle (FACT/ESTIMATE)
| Dimension | Assessment |
|---|---|
| driver | freight volumes + yields (parcel/LTL/forwarding) + the freight cycle + fuel |
| net_debt_or_cash_b | 0.0 |
Capital intensity & shareholder returns (ESTIMATE)
| Dimension | Assessment |
|---|---|
| capex_pct_revenue | 0.06 |
| div_yield | None |
Structural risk vs optionality (INFERENCE)
| Dimension | Assessment |
|---|---|
| downside | freight-margin reset / disintermediation |
| upside | tight capacity + e-com volumes |
Industry Context — Ind Transport
This name sits in the Ind Transport as a freight_logistics. freight volumes + yields (parcel/LTL/forwarding) + the freight cycle + fuel Its scenarios are not guessed in isolation — they inherit a single, shared view of the cluster's driver cycle, so the names that depend on the same event are mutually consistent.
Value chain: UNP (rails) · UPS (freight_logistics) · CSX (rails) · FDX (freight_logistics) · NSC (rails) · DAL (airlines) · ODFL (freight_logistics) · UAL (airlines) · JBHT (freight_logistics) · LUV (airlines) · FDXF (freight_logistics) · EXPD (freight_logistics) · CHRW (freight_logistics)
| Shared state | Capex path | House view | This name implies |
|---|---|---|---|
| Freight / Travel Recession | 38% | 37% | |
| Mid-Cycle — Volume + Yield Normalisation | 34% | 35% | |
| Upcycle — Tight Capacity / Strong Demand | 28% | 28% |
On the cluster's key downside — Freight / Travel Recession () — this name implies 37% vs the cluster house view of 38% (in line with the house). The cluster's full cross-stock reconciliation governs that the names which ride the same capex cycle assign it comparable odds.
Structure: Shared State — The ind_transport cycle is the shared macro driver. Driver — freight volumes & yields + passenger demand + the transport cycle + fuel/labor Dispersion — Members differ by cyclicality (quality compounders vs deep cyclicals).
Model Appendix
DCF — line items
| Year | Revenue | Op income | − Capex | + D&A | FCF | PV(FCF) |
|---|---|---|---|---|---|---|
| FY+1 | $9B | $1B | $1B | $1B | $1B | $1B |
| FY+2 | $9B | $1B | $1B | $1B | $1B | $1B |
| FY+3 | $10B | $1B | $1B | $1B | $1B | $1B |
| FY+4 | $10B | $1B | $1B | $1B | $1B | $1B |
| FY+5 | $10B | $1B | $1B | $1B | $1B | $1B |
| Terminal | — | — | — | — | $1B × 27x | $16B |
FCF is bridged: NOPAT + D&A − Capex − ΔNWC (capex intensity 6% of revenue, weighted from the segments) — not a single conversion fudge.
WACC 9.0% · Σ PV(FCF) $3B + PV(terminal) $16B = EV $19B; + net cash → equity $19B ÷ diluted shares 0.16B = $119/share (exit-multiple terminal).
- Gordon (perpetuity-growth) terminal at 2.5% → $78/share — a genuinely non-multiple, cash-based cross-check; the exit-multiple and Gordon values bracket the terminal-value risk.
- Incremental ROIC on the forecast capex ≈ 5% vs WACC 9% → below WACC — the incremental build is value-dilutive.
Peer set
| Peer | EV/Rev | Fwd P/E | Growth | Op margin |
|---|---|---|---|---|
| ODFL | 8.34x | 40.49x | 4% | 24% |
| JBHT | 2.242x | 37.74x | 4% | 7% |
| VRSK | 8.8x | 23.15x | 6% | 45% |
| LUV | 0.988x | 16.67x | 4% | 4% |
| Median | 5.291x | 30.445x | — | — |
Peer-median fwd P/E → $148; EV/Rev → $290.
Weighted fair-value math
| Anchor | Value | Weight | Contribution |
|---|---|---|---|
| DCF | $119 | 41% | $49 |
| Scenario PWEV | $156 | 29% | $46 |
| Monte Carlo median | $137 | 18% | $24 |
| Peer P/E | $148 | 12% | $17 |
| Triangulated | — | 100% | $137 |
Sensitivity
DCF/share — WACC × terminal multiple
| WACC ＼ Term× | 18.9x | 22.9x | 27.0x | 31.0x | 35.1x |
|---|---|---|---|---|---|
| 7% | $97 | $114 | $130 | $146 | $162 |
| 8% | $93 | $109 | $124 | $140 | $155 |
| 9% | $90 | $104 | $119 | $134 | $149 |
| 10% | $86 | $100 | $114 | $128 | $143 |
| 11% | $83 | $96 | $110 | $123 | $137 |
DCF/share — revenue CAGR Δ × op-margin Δ
| CAGRΔ ＼ MgnΔ | -3.0pp | -1.5pp | +0.0pp | +1.5pp | +3.0pp |
|---|---|---|---|---|---|
| -3.0pp | $80 | $94 | $108 | $122 | $136 |
| -1.5pp | $84 | $99 | $114 | $129 | $144 |
| +0.0pp | $87 | $103 | $119 | $135 | $151 |
| +1.5pp | $91 | $108 | $125 | $142 | $159 |
| +3.0pp | $95 | $113 | $131 | $149 | $168 |
Tornado — DCF/share swing by driver (widest first)
| Driver | Low | High | Swing |
|---|---|---|---|
| Op margin ±3pp | $87 | $151 | $64 |
| Terminal × ±15% | $104 | $134 | $30 |
| Revenue CAGR ±3pp | $108 | $131 | $23 |
| WACC ±1pp | $114 | $124 | $10 |
| FCF conversion ±10% | $119 | $119 | $0 |
Company lever — SoP/share vs Freight & Logistics multiple (AI re-rating) (base 32x)
| Multiple | 22.4x | 27.2x | 32.0x | 36.8x | 41.6x |
|---|---|---|---|---|---|
| SoP/share | $1,226 | $1,488 | $1,751 | $2,014 | $2,276 |
Load-Bearing Assumptions
DCF: WACC 9%, terminal multiple 27×, FY+5 revenue $10B. Triangulation leans 41% on DCF, 29% on PWEV.
Reasons the Thesis Could Fail (Falsifiable)
A miss on Gross Margin drops the case toward the structural target $69.
Fact / Inference / Speculation
- FACT: Spot $151; 52-week range $135–$200; engine rating HOLD; base-case target $156 (+3%).
- INFERENCE: Triangulated FV $137 (-10%). Gross Margin explains 59% of Monte Carlo outcome variance — the single variable that decides which side is right.
- SPECULATION: At current prices the embedded bet is that Gross Margin surprises to the upside — Gross Margin carries 59% of outcome variance.
Recommendation: HOLD
Balanced: triangulated fair value $137 (-10% vs spot); the outcome hinges on Gross Margin. The debate is Gross Margin (59% of variance) — a fundamental call. SBC runs —M TTM (disclosed in the appendix).