“Growth is not worth paying for unless it is durable.” — Terry Smith
“It’s far better to buy a wonderful company at a fair price than a fair company at a wonderful price.” — Warren Buffett
Myth-buster: High P/E ≠ always expensive. If EPS glides (compounds) 18–25% with quality, durability, and runway, price tends to follow earnings even when P/E is flat or mildly lower.
How to judge: 3 tests → Quality (🏆), Durability (🛡️), Runway (🚀).
What to do: Build a Scenario Table, set buy bands, enter in tranches, track an EPS Glide scorecard each quarter.
Most beginners chase “low P/E” and avoid quality companies at 40–80×. Result? They buy value traps and miss decade-long compounders.
Core idea: If EPS compounds strongly, earnings growth (the engine) does the heavy lifting; P/E changes are the wind.
🧲 Low P/E traps: cheap multiple, weak business → EPS decays.
🔄 PEG confusion: using PEG mechanically without judging quality & stability.
🧾 EPS vs PAT: looking at PAT growth but ignoring per-share EPS (dilution matters).
🕰️ Anchoring: focusing on old prices, not future cash flows.
🔁 Cross-company P/E comparisons across different quality/cyclicality.
P/E = Price ÷ EPS (what market pays per rupee of earnings).
EPS Glide = steady multi-year EPS compounding with minimal dilution.
Re-rating / De-rating = market raises/lowers the P/E multiple as expectations change.
PEG = P/E ÷ EPS CAGR (a rough lens; durability still matters most).
Quality (🏆) — High & stable ROCE, FCF conversion, pricing power, governance.
Durability (🛡️) — Non-cyclical demand, repeat purchase, switching costs/brand moat.
Runway (🚀) — Long reinvestment opportunity + disciplined capital allocation.
If all three are green, a high P/E can still be fair.
1) Quality & Moat Scan 🔍
Metrics: ROCE (5–10Y), FCF/EBITDA, Net Debt/EBITDA, working-capital discipline, disclosures.
2) Model the EPS Glide 📈
Build Bear / Base / Bull EPS CAGR for 5–10 years using industry structure + unit economics + expansion cadence.
3) Set Exit Multiples 🎯
Use historical P/E band (min–median–max), peer comps, and rate regime to choose reasonable Exit P/E per scenario.
4) Build the Scenario Table 🧮
EPS(t) = EPS₀ × (1+g)^t
Implied Price = EPS(t) × Exit P/E
5) Risk Ledger ⚠️
Execution, regulation, input costs, FX, tech disruption, substitution.
6) Entry Discipline 🧭
Tranche buys on dips, position limits, predefined guardrails (EPS miss, leverage spike, red flags).
EPS₀ = ₹50, Base EPS CAGR = 20%, t = 5 → EPS₅ ≈ ₹124
Exit P/E = 45× → Implied Price ≈ ₹5,580
If Entry = ₹3,000, then 5Y CAGR ≈ 13–14% even without re-rating.
With modest de-rating from 60× → 45×, returns still hold because EPS did the heavy lifting.
Key snapshot
PE vs EPS Glide angle (Titan): Even with a high P/E band, a long runway in jewellery + brand/pricing power has historically let EPS do the heavy lifting; de-rating risk rises if gold spikes compress margins.
Pattern: Premium brand, repeat purchase, pricing power → EPS compounding strong.
Historic band often high P/E, yet returns largely EPS-driven.
Works when: jewelry mix, store expansion, margin stability.
Fails when: discretionary slowdown, competitive discount war, regulatory shocks.
Key snapshot
PE vs EPS Glide angle (DMart): The unit-economics flywheel (EDLP, fast turns, tight WC) enables durable EPS glide; even if P/E normalises from triple digits to lower bands, EPS compounding + network expansion has historically driven value. Use FY14–FY25 EPS series to show returns with flat P/E vs mild de-rating.
Pattern: Everyday low price, negative WC model → reinvestment flywheel.
High P/E sustained because unit economics + runway.
Watch: store productivity, same-store growth, private label mix, lease terms.
Key snapshot
PE vs EPS Glide angle (PI): High-ROCE, IP-led contracts + long-tenure CRDMO relationships create visibility on earnings. If exit multiple is steady in the 30–40× zone, a 20–25% EPS glide can still yield attractive IRRs; key risks are mix, client concentration, and FX/input.
Pattern: Process IP, long contracts, high ROCE → visibility to EPS glide.
Monitor: order book conversion, molecule pipeline, input/currency risks.
For each company Let us watch some long term data:
Titan:
DMart:
PIInd:
Chart placeholders:
Chart: PE vs EPS Glide — Titan FY00–FY25
Chart: Historical P/E Band — D-Mart
Return — PI FY22–FY25
Pattern: All 3 Companies have shown multiyear rally despite falls.
We would see falls during challenging times and uneven rallies also during favourable times, as investors we should see that returns are smooth on longer term.
Build a watchlist of 15–20 high-quality names; rank by Quality x Durability x Runway.
Valuation guardrails: Buy bands using historical P/E/PBV percentiles + EPS glide confidence.
Tranching: 3–4 entries around results/sector corrections.
When to sell: Thesis breaks (EPS slows materially), leverage/dilution creep, governance flags, or superior opportunity.
Is PEG < 1 always “cheap”?
Ans: No. PEG ignores quality/cyclicality. Judge durability first.
What is Cyclical EPS?
Ans: Normalize through-cycle; value on mid-cycle margins.
Buybacks/dilution?
Ans: Model per-share EPS. Rising PAT with dilution ≠ EPS glide; buybacks help, equity raises dilute.
How do I pick Exit P/E?
Ans: Use historical bands + peer comps + rate regime; be conservative in Bear/Base.
“Price tracks EPS in the long run.”
“Durable growth beats cheap stagnation.”
“Your edge is discipline: scenario tables, guardrails, tranches.”
This article is for education & information only. It is not investment advice, recommendation, or solicitation. Markets involve risk of loss. Do your own research; figures may change with new disclosures. No personalized advice is provided here.
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Very informative and interesting study for long term portfolio building
Thankyou Very Much