Services Sector Playbook
This playbook covers the Services sector of the Indian stock market. Use it to understand how companies in this sector make money, what metrics matter most,...
Sector Overview
This playbook covers the Services sector of the Indian stock market. Use it to understand how companies in this sector make money, what metrics matter most, and how to value them.
What you will learn
- Business Models: Asset-heavy (airlines, shipping) vs asset-light (3PL, consulting, BPO)
- Utilization & Yield: Load factors, yield per km/tonne, fleet utilization, route economics
- Infrastructure Linkage: Ports, airports, highways — traffic growth tied to GDP, trade volumes
- Regulation & Policy: Open sky agreements, cabotage rules, GST on logistics, e-way bills
- Valuation: EV/EBITDA, fleet replacement value, concession DCF, tonnage multiples
Sub-industries in this sector
| Basic Industry | Playbook |
|---|---|
| Airline | View playbook |
| Airport & Airport services | View playbook |
| Business Process Outsourcing (BPO)/ Knowledge Process Outsourcing (KPO) | View playbook |
| Consulting Services | View playbook |
| Data Processing Services | View playbook |
| Development Authority | View playbook |
| Diversified Commercial Services | View playbook |
| Dredging | View playbook |
| Logistics Solution Provider | View playbook |
| Port & Port services | View playbook |
| Railways | View playbook |
| Road Assets-Toll, Annuity, Hybrid-Annuity | View playbook |
| Road Transport | View playbook |
| Shipping | View playbook |
| Trading & Distributors | View playbook |
| Transport Related Services | View playbook |
| Urban Local Bodies | View playbook |
How to use this playbook
Start with the Business Model lesson to understand how companies in this sector generate revenue. Then move through metrics, risks, and valuation in sequence. Each lesson builds on the previous one.
1. Services — Business Models
What you will learn
- Sub-sectors within Indian logistics & transport services: aviation, shipping, ports, 3PL, express logistics
- Asset-heavy vs asset-light models and their return profiles
- Revenue drivers: yield/km, freight rates, throughput, tonnage, shipments
- Why India's logistics cost (14% of GDP) is a structural opportunity for organized players
- Key listed players and their competitive positioning
India's logistics landscape
India spends ~14% of GDP on logistics (vs 8-10% in developed countries). This inefficiency = massive opportunity for organized players as GST unifies markets, expressways connect hubs, and e-commerce demands faster delivery.
Sub-sector comparison
| Sub-sector | Revenue Model | Asset Intensity | EBITDA Margin | ROE Range | Key Metric |
|---|---|---|---|---|---|
| Aviation (passenger) | Yield per RASK | Very high (aircraft ₹500-1,200 Cr each) | 15-25% (peak); -10% (trough) | 15-35% (volatile) | Load factor, RASK, CASK |
| Ports | Cargo throughput × handling rate | High (capex per berth ₹500-1,500 Cr) | 55-70% | 15-22% | Cargo volume (MMT), realization/ton |
| Shipping | Freight rates × DWT | Very high (ships $30-60M each) | 30-60% (highly cyclical) | 5-40% (cyclical) | TCE (Time Charter Equivalent) |
| Container logistics | Rail haulage + terminal handling | Moderate-high (wagons, terminals) | 18-25% | 10-14% | EXIM volume (TEUs), domestic share |
| Express logistics | Volume × revenue/shipment | Low-moderate (hubs, vehicles) | 5-10% (maturing) | -5% to 15% | Shipments/day, revenue/shipment |
| 3PL / freight forwarding | Gross margin on freight management | Low (asset-light) | 4-8% (thin) | 15-25% (capital-efficient) | Gross profit (not revenue), tonnage |
| Road logistics (FTL/LTL) | Freight per ton-km | Moderate (fleet) | 10-14% | 12-18% | Fleet utilization, trip/truck/month |
Aviation — IndiGo's dominance model
Industry structure
| Airline | Market Share (FY24) | Fleet | Model | Status |
|---|---|---|---|---|
| IndiGo | 62% | 350+ A320 family | Ultra-LCC, single aircraft type | Dominant, profitable |
| Air India (Tata) | 25% | 200+ (mixed A320 + B787) | Full service + LCC (Air India Express) | Turnaround mode |
| SpiceJet | 4% | 30 (reduced) | LCC, financial distress | Restructuring |
| Akasa Air | 5% | 25 B737 MAX | LCC, new entrant (Jhunjhunwala-backed) | Growth phase |
IndiGo's unit economics
| Metric | IndiGo (FY24) | Industry Avg | Why IndiGo Wins |
|---|---|---|---|
| CASK (cost/available seat km) | ₹4.5-4.8 | ₹5.2-5.8 | Single fleet (A320), no business class, high utilization |
| RASK (revenue/ASK) | ₹5.2-5.5 | ₹5.0-5.3 | 62% share = pricing power on high-demand routes |
| Load factor | 85-88% | 82-85% | Brand trust + frequency advantage |
| Aircraft utilization | 12+ hrs/day | 10-11 hrs/day | Quick turnarounds, point-to-point |
| Fuel cost % of revenue | 38-42% | 40-45% | Newer aircraft (A320neo = 15% fuel saving) |
Why aviation is a terrible industry — except for the monopolist
Globally, airlines have destroyed more capital than they've created. The exception: monopoly/duopoly markets. IndiGo at 62% share in India's fastest-growing aviation market is closer to a utility than an airline. Watch for share falling below 55% — that's when pricing power erodes.
Ports — Adani Ports model
How port companies make money
| Revenue Stream | Contribution | Pricing Model | Growth Driver |
|---|---|---|---|
| Cargo handling (container) | 40-45% | Per TEU (₹4,000-6,000) | EXIM trade growth |
| Cargo handling (bulk/liquid) | 30-35% | Per MT (₹100-300) | Industrial output, coal, crude |
| Storage & warehousing | 10-15% | Per day per container | Dwell time + trade volumes |
| Logistics & transport | 10-15% | Per km or per trip | Hinterland connectivity |
Adani Ports — network advantage
| Port | Location | Cargo (MTPA) | Specialization |
|---|---|---|---|
| Mundra | Gujarat (West) | 170+ | India's largest private port — all cargo types |
| Dhamra | Odisha (East) | 45+ | Coal, steel raw materials |
| Krishnapatnam | Andhra (South-East) | 65+ | Container + agri-bulk |
| Gangavaram | Andhra | 35+ | Coal, fertilizer |
| Kattupalli | Tamil Nadu | 25+ | Container terminal |
| Vizhinjam (upcoming) | Kerala | — | Deep-water transshipment (game changer) |
| Colombo (acquired) | Sri Lanka | — | Transshipment hub for Indian EXIM |
Adani Ports handles 27% of India's total port cargo — scale allows lower cost per MT, longer concessions, and pricing leverage.
Express logistics — Delhivery & Blue Dart
Express logistics unit economics
| Metric | Delhivery (FY24) | Blue Dart | TCI Express |
|---|---|---|---|
| Shipments/day | 4-5 million | 1.5-2 million | 0.2 million |
| Revenue/shipment | ₹65-75 | ₹300-400 | ₹500-600 |
| EBITDA margin | 3-5% (improving) | 14-16% | 12-14% |
| Key client | E-commerce (70%+) | B2B + premium B2C | B2B (corporate) |
| Network | 23,000+ pin codes | 36,000+ pin codes | 40,000+ pin codes |
| Asset model | Hub-and-spoke (owned hubs) | Mixed (DHL parent advantage) | Primarily owned fleet |
Why express logistics margins are structurally lower than ports
| Factor | Ports | Express Logistics |
|---|---|---|
| Entry barriers | High (₹5,000+ Cr, govt concession) | Low (₹50-100 Cr for small operator) |
| Pricing power | Moderate-high (limited ports per coast) | Low (intense competition, e-commerce pressure) |
| Fixed vs variable cost | 70% fixed → operating leverage | 50% variable → limited leverage |
| Customer concentration | Diversified (hundreds of importers) | Concentrated (top 5 e-commerce = 60%+ for Delhivery) |
| Margin ceiling | 55-70% EBITDA | 8-12% EBITDA at maturity |
3PL & freight forwarding — thin margin, high ROE
How 3PL works
| Business Type | What They Do | Revenue | Gross Profit | Key Players |
|---|---|---|---|---|
| Freight forwarders | Arrange transport (don't own assets) | ₹Cr (gross billing) | 15-20% of revenue | Allcargo, TCI, Balmer Lawrie |
| Contract logistics | Manage warehouses + distribution for clients | Monthly fixed + variable | 8-12% EBITDA | Mahindra Logistics, DHL Supply Chain |
| Multimodal (rail+road) | Optimize route + mode mix | Per ton-km | 6-8% EBITDA | Concor, Gateway Distriparks |
Revenue vs Gross Profit trap in 3PL
A 3PL company with ₹5,000 Cr "revenue" may have only ₹800 Cr gross profit — the rest is pass-through freight costs. Always value 3PLs on Gross Profit or Net Revenue, not headline top-line. Allcargo's revenue dropped 40% in FY24 — but gross profit fell only 15% (freight rates normalized, not demand collapse).
Indian context
🗣️
"Indian logistics sector mein ek simple framework kaam karta hai: port companies = toll booth (traffic aata rahega, margins stable), airlines = knife fight (winner takes all, loser goes bankrupt), express = land grab (scale milega toh margin aayega, nahi toh capital destroy), aur 3PL = consulting fee (asset-light lekin thin margins). IndiGo ko airline nahi samjho — 62% market share ke saath woh actually ek tollbooth hai air traffic ki. Adani Ports ko infrastructure samjho — ek baar berth ban gaya, 30 saal concession mein margin compound hota hai. Delhivery ko abhi judge mat karo — 5M shipments/day pe margin dikhega, 3M pe nahi."
✅ Checklist
- ○I classify each company by asset intensity: very high (airlines, shipping) vs moderate (ports, rail) vs low (3PL, express)
- ○I use appropriate metrics per sub-segment: RASK/CASK for airlines, cargo MMT for ports, shipments/day for express
- ○I understand why ports earn 55-70% EBITDA while express logistics earns 5-12%
- ○I track IndiGo's market share — above 55% = monopoly pricing; below = competition risk
- ○I evaluate 3PL on gross profit, not headline revenue
- ○I know the India logistics cost opportunity (14% GDP → 9% = ₹20L Cr addressable market)
Key takeaway
Indian logistics is not one sector — it's five distinct businesses with completely different economics. Ports (Adani Ports, JSW Infra) are quasi-monopoly tollbooths with 60%+ EBITDA margins and 30-year concessions. Aviation is winner-takes-all where IndiGo's 62% share makes it the rare profitable airline globally. Express logistics (Delhivery) is a scale game where margins appear only at massive volumes. Shipping (SCI) is brutally cyclical with no sustainable moat. 3PL is asset-light but thin-margin. The common thread: India's logistics cost at 14% of GDP (vs 8% globally) is a structural tailwind — as infrastructure improves and GST unifies markets, organized players gain share from unorganized trucking and fragmented warehousing.
2. Services — Utilization & Yield
Utilization metrics by subsegment: load factor (aviation), berth occupancy (ports), fleet utilization (logistics) Yield metrics: RASK/CASK (aviation), realiz...
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3. Services — Infrastructure Linkage
How India's infrastructure buildout creates structural volume growth for logistics companies Port capacity expansion: DFC (Dedicated Freight Corridors), Saga...
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4. Services — Regulation & Policy
Aviation regulation: route licensing, fare caps (now removed), bilateral agreements, airport tariffs Port regulation: TAMP vs landlord model, Major vs NonMaj...
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5. Services — Valuation
Subsegment specific valuation metrics: EV/EBITDA, EV/ton, P/E, concession DCF Aviation: why IndiGo trades at 2025x EV/EBITDA and when to buy Ports: EV/ton an...
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