Valuing Cyclical and Commodity Companies
Master the art of valuing companies whose earnings swing with economic cycles and commodity prices, using normalized earnings and mid-cycle analysis.
Learning Objectives
- Understand why cyclical companies require different valuation approaches
- Calculate normalized earnings across the business cycle
- Apply mid-cycle analysis to avoid peak/trough traps
- Value commodity producers using reserve-based and production metrics
Valuing Cyclical and Commodity Companies#
You find a steel company trading at 4x earnings. A bargain? Maybe. Or maybe earnings are at a cyclical peak, and the stock is actually expensive. Cyclical companies are valuation minefields—they look cheapest at the top and most expensive at the bottom.
The Cyclical Paradox: When P/E is lowest, you should often be most cautious. When P/E is highest (or negative), it may be time to buy. This is the opposite of how most investors think.
Understanding Business Cycles#
Cyclical vs. Defensive Industries#
| Cyclical Industries | Defensive Industries |
|---|---|
| Autos, Airlines | Utilities |
| Construction, Housing | Consumer Staples |
| Steel, Chemicals | Healthcare |
| Semiconductors | Telecom |
| Energy, Mining | Waste Management |
Cyclical companies see 50-100%+ swings in earnings through the cycle. Defensive companies might vary 10-20%.
The Earnings Cycle Pattern#
| Cycle Phase | Cyclical Company Earnings | P/E Behavior |
|---|---|---|
| Early recovery | Low/losses | High/negative |
| Expansion | Growing rapidly | Moderate |
| Peak | Maximum earnings | Very low |
| Contraction | Declining | Rising |
| Trough | Minimal/losses | High/negative |
The Trap: At the peak, P/E looks compelling (e.g., 5x). But earnings are about to collapse.
Normalized Earnings: The Key Concept#
Normalized earnings estimate what a company would earn in a "normal" or mid-cycle year—smoothing out peaks and troughs.
Methods to Calculate Normalized Earnings#
Method 1: Historical Average
Take average EPS over a full cycle (7-10 years):
| Year | EPS | Note |
|---|---|---|
| 2016 | $2.50 | Recovery |
| 2017 | $4.00 | Growth |
| 2018 | $6.00 | Peak |
| 2019 | $3.50 | Decline |
| 2020 | $0.50 | Trough |
| 2021 | $2.00 | Recovery |
| 2022 | $5.00 | Growth |
| 2023 | $7.00 | Peak |
| Average | $3.81 | Normalized |
If current EPS is $7.00 (peak) and P/E is 6x, stock trades at $42. But on normalized earnings: $42 / $3.81 = 11x normalized P/E.
11x is much more expensive than 6x suggested.
Method 2: Mid-Cycle Margins
Apply average margins to current revenue:
Normalized Earnings = Current Revenue × Average Operating Margin × (1 - Tax Rate)
Example: Steel Company
- Current Revenue: $5B
- Average Operating Margin (10 years): 8%
- Current Operating Margin: 15% (peak)
- Tax Rate: 25%
Normalized EBIT = $5B × 8% = $400M
Normalized Net Income = $400M × (1 - 0.25) = $300M
Current Net Income = $5B × 15% × 0.75 = $562M
Using current earnings overstates sustainable profitability by 87%.
Method 3: Replacement Cost Analysis
For commodity producers, calculate:
Normalized Earnings = Production Volume × Long-Run Average Price × Average Cost Structure
This assumes commodity prices revert to long-term averages.
Which Cycle Period?
Use at least 7-10 years to capture a full economic cycle. Shorter periods may miss peaks or troughs. Longer periods might include structural changes that make old data irrelevant.
Mid-Cycle Valuation Framework#
Step 1: Identify Where We Are in the Cycle#
| Indicator | Early | Mid | Late | Recession |
|---|---|---|---|---|
| GDP Growth | Accelerating | Stable | Slowing | Negative |
| Capacity Utilization | Rising from low | ~80% | High/peaking | Falling |
| Inventory | Low, building | Normal | High/excess | Liquidating |
| Company Margins | Expanding | Normal | Peaking | Contracting |
Step 2: Calculate Normalized Metrics#
For cyclical comparison:
- Normalized EPS
- Normalized EBITDA
- Normalized margins
Step 3: Apply Mid-Cycle Multiples#
Compare to what companies traded at during "normal" periods:
| Sector | Peak P/E | Mid-Cycle P/E | Trough P/E |
|---|---|---|---|
| Autos | 4-6x | 8-10x | 15x+ or N/A |
| Steel | 3-5x | 7-10x | 20x+ or N/A |
| Airlines | 4-6x | 8-12x | N/A |
| Homebuilders | 4-6x | 8-12x | 15x+ or N/A |
A steel company at 5x current (peak) earnings but 10x normalized earnings trades at mid-cycle valuation.
Commodity Company Specifics#
Valuation Metrics for Resource Companies#
| Metric | Formula | Use Case |
|---|---|---|
| EV/Reserves | EV / Proven Reserves | Mining, Oil & Gas |
| EV/Production | EV / Annual Output | All commodity producers |
| NAV (Net Asset Value) | PV of Future Production | Mining |
| EV/EBITDAX | EV / EBITDA before exploration | Oil & Gas |
Example: Mining Company Valuation#
GoldCorp Metrics:
- Proven gold reserves: 10 million ounces
- Annual production: 500,000 ounces
- Production cost: $1,000/oz
- Current gold price: $2,000/oz
- Enterprise Value: $8 billion
Key Ratios:
EV/Reserves = $8B / 10M oz = $800/oz
EV/Production = $8B / 500K oz = $16,000/oz
Current Margin = $2,000 - $1,000 = $1,000/oz profit
Reserve Life: 10M / 0.5M = 20 years Simple Valuation: 500K oz × $1,000 × 20 years = $10B undiscounted value
Commodity Price Scenarios#
Always run sensitivity on commodity prices:
| Gold Price | Operating Margin | EV Sensitivity |
|---|---|---|
| $1,500/oz | $500/oz | $6B (weak) |
| $1,800/oz | $800/oz | $7B (moderate) |
| $2,000/oz | $1,000/oz | $8B (base) |
| $2,500/oz | $1,500/oz | $11B (strong) |
Small commodity price changes have outsized effects on profitability and value.
Common Cyclical Valuation Mistakes#
1. Buying "Cheap" P/E at Cycle Peaks#
A P/E of 4x screams "buy"—until earnings collapse 70% and P/E jumps to 15x.
Fix: Always calculate normalized P/E alongside current P/E.
2. Selling "Expensive" P/E at Cycle Troughs#
P/E of 30x (or negative) looks terrible—but earnings are depressed.
Fix: If normalized P/E is reasonable and balance sheet is strong, the stock may be attractive.
3. Using Current Margins for DCF#
Projecting current peak margins forever dramatically overstates value.
Fix: Use normalized margins or explicit margin mean-reversion in projections.
4. Ignoring Balance Sheet Strength#
Cyclical companies need strong balance sheets to survive downturns.
Checklist:
- Net debt / EBITDA < 2x (at mid-cycle earnings)
- Interest coverage > 4x (at trough)
- Cash to cover 12+ months operations
- No near-term debt maturities
5. Assuming "This Time Is Different"#
Every cycle peak comes with narratives for why high profits will persist:
- "China demand is structural"
- "Supply is constrained forever"
- "New technology changes everything"
These narratives are usually wrong. Prices and margins mean-revert.
Cycles Always Turn
Peak earnings never last. Trough losses rarely persist. The investor who buys at troughs (when headlines are terrible) and sells at peaks (when everything looks great) outperforms. This requires emotional discipline to act against the crowd.
Putting It Together: Valuation Checklist#
For Cyclical Companies:#
- Where in the cycle? Early, mid, late, recession?
- Normalized earnings? Average over 7-10 years or mid-cycle margins
- Normalized P/E? Compare to historical mid-cycle multiples
- Balance sheet strength? Can it survive the downturn?
- Margin of safety? Buy well below normalized value to protect against being wrong on timing
For Commodity Producers:#
- Reserve life and quality? How long can they produce?
- Cost curve position? Low-cost producers survive downturns
- Commodity price sensitivity? Model bear, base, bull scenarios
- Replacement cost? What would it cost to build this from scratch?
- NAV discount? Most miners trade at 0.6-0.8x NAV
Key Takeaways
- Cyclical companies look cheapest at peaks and most expensive at troughs—the opposite of intuition - Use normalized earnings (7-10 year average) to smooth cycle effects - Mid-cycle P/E for cyclicals: 8-12x vs. peak P/E of 4-6x - Apply mid-cycle margins to current revenue for normalized EBIT - Commodity companies use specialized metrics: EV/Reserves, EV/Production, NAV - Run commodity price sensitivity—small price changes dramatically affect value - Balance sheet strength is critical—weak companies don't survive downturns - The margin-of-safety principle is essential: buy below normalized value - Remember: cycles always turn; peak narratives usually disappoint